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Download A Solution Manual for: Statistics and Data Analysis for Financial Engineering PDF
 
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You can download this book in PDF version for FREE at http://bit.ly/1DeDfIV
Views: 21 Aldo Earth
1. Introduction to Statistics
 
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*NOTE: This video was recorded in Fall 2017. The rest of the lectures were recorded in Fall 2016, but video of Lecture 1 was not available. MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: https://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about the importance of the mathematical theory behind statistical methods and built a mathematical model to understand the accuracy of the statistical procedure. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Views: 261923 MIT OpenCourseWare
Interview with a Data Scientist
 
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This video is part of the Udacity course "Intro to Programming". Watch the full course at https://www.udacity.com/course/ud000
Views: 290133 Udacity
Introduction to Data Science with R - Data Analysis Part 1
 
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Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 907102 David Langer
Data Analysis with Python for Excel Users
 
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A common task for scientists and engineers is to analyze data from an external source. By importing the data into Python, data analysis such as statistics, trending, or calculations can be made to synthesize the information into relevant and actionable information. See http://apmonitor.com/che263/index.php/Main/PythonDataAnalysis
Views: 161386 APMonitor.com
Statistics intro: Mean, median, and mode | Data and statistics | 6th grade | Khan Academy
 
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This is a fantastic intro to the basics of statistics. Our focus here is to help you understand the core concepts of arithmetic mean, median, and mode. Practice this lesson yourself on KhanAcademy.org right now: https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/mean-and-median/e/calculating-the-mean?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade Watch the next lesson: https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/mean-and-median/v/mean-median-and-mode?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade Missed the previous lesson? https://www.khanacademy.org/math/cc-sixth-grade-math/cc-6th-data-statistics/histograms/v/interpreting-histograms?utm_source=YT&utm_medium=Desc&utm_campaign=6thgrade Grade 6th on Khan Academy: By the 6th grade, you're becoming a sophisticated mathemagician. You'll be able to add, subtract, multiply, and divide any non-negative numbers (including decimals and fractions) that any grumpy ogre throws at you. Mind-blowing ideas like exponents (you saw these briefly in the 5th grade), ratios, percents, negative numbers, and variable expressions will start being in your comfort zone. Most importantly, the algebraic side of mathematics is a whole new kind of fun! And if that is not enough, we are going to continue with our understanding of ideas like the coordinate plane (from 5th grade) and area while beginning to derive meaning from data! (Content was selected for this grade level based on a typical curriculum in the United States.) About Khan Academy: Khan Academy is a nonprofit with a mission to provide a free, world-class education for anyone, anywhere. We believe learners of all ages should have unlimited access to free educational content they can master at their own pace. We use intelligent software, deep data analytics and intuitive user interfaces to help students and teachers around the world. Our resources cover preschool through early college education, including math, biology, chemistry, physics, economics, finance, history, grammar and more. We offer free personalized SAT test prep in partnership with the test developer, the College Board. Khan Academy has been translated into dozens of languages, and 100 million people use our platform worldwide every year. For more information, visit www.khanacademy.org, join us on Facebook or follow us on Twitter at @khanacademy. And remember, you can learn anything. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to Khan Academy‰Ûªs 6th grade channel: https://www.youtube.com/channel/UCnif494Ay2S-PuYlDVrOwYQ?sub_confirmation=1 Subscribe to Khan Academy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 1871347 Khan Academy
Forecasting Methods Overview
 
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This is an overview of some basic forecasting methods. These basic forecasting methods are broken into two categories of approaches: quantitative and Qualitative. Quantitative forecasting approaches use historical data and correlative association to make forecasts. Qualitative forecasting approaches look at the opinions of experts, consumers, decision makers and other stakeholders. This video is about basic forecasting methods and covers 9 of the most common approaches. Avercast forecasting software makes good use of these approaches, and is powered by over 200 algorithms. Visit http://www.avercast.com/ for more information on our leading forecasting software.
Views: 97796 Avercast, LLC
Probability density functions | Probability and Statistics | Khan Academy
 
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Probability density functions for continuous random variables. Practice this yourself on Khan Academy right now: https://www.khanacademy.org/e/probability-models?utm_source=YTdescription&utm_medium=YTdescription&utm_campaign=YTdescription Watch the next lesson: https://www.khanacademy.org/math/probability/random-variables-topic/expected-value/v/term-life-insurance-and-death-probability?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/random-variables-topic/random_variables_prob_dist/v/discrete-probability-distribution?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it! About Khan Academy: Khan Academy is a nonprofit with a mission to provide a free, world-class education for anyone, anywhere. We believe learners of all ages should have unlimited access to free educational content they can master at their own pace. We use intelligent software, deep data analytics and intuitive user interfaces to help students and teachers around the world. Our resources cover preschool through early college education, including math, biology, chemistry, physics, economics, finance, history, grammar and more. We offer free personalized SAT test prep in partnership with the test developer, the College Board. Khan Academy has been translated into dozens of languages, and 100 million people use our platform worldwide every year. For more information, visit www.khanacademy.org, join us on Facebook or follow us on Twitter at @khanacademy. And remember, you can learn anything. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Probability and Statistics channel: https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 1588762 Khan Academy
Game theory #1||Pure & Mixed Strategy||in Operations research||Solved problem||By:- Kauserwise
 
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Here is the video about Game theory with Pure Strategy and Mixed Strategy - In operations research, in this video we have solved a problem on Pure strategy and Mixed Strategy with some basic terminologies and necessary information about Game theory, What is Player in Game theory, What is Strategy in Game theory, What is Pure strategy and What is Mixed strategy in game theory, What is Payoff matrix in game theory, What is MiniMax properties and What is Maximin property in game theory, what is saddle point in game theory, What is Value of the Game in game theory and Two persons Zero sum game in game theory in simple manner, hope this will help you to get the subject knowledge at the end. if you like this please like, comment, share and subscribe. Thanks and All the best. To watch more tutorials pls visit: www.youtube.com/c/kauserwise * Financial Accounts * Corporate accounts * Cost and Management accounts * Operations Research Playlists: For Financial accounting - https://www.youtube.com/playlist?list=PLabr9RWfBcnojfVAucCUHGmcAay_1ov46 For Cost and Management accounting - https://www.youtube.com/playlist?list=PLabr9RWfBcnpgUjlVR-znIRMFVF0A_aaA For Corporate accounting - https://www.youtube.com/playlist?list=PLabr9RWfBcnorJc6lonRWP4b39sZgUEhx For Operations Research - https://www.youtube.com/playlist?list=PLabr9RWfBcnoLyXr4Y7MzmHSu3bDjLvhu
Views: 338164 Kauser Wise
Normal Distribution - Explained Simply (part 1)
 
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I describe the standard normal distribution and its properties with respect to the percentage of observations within each standard deviation. I also make reference to two key statistical demarcation points (i.e., 1.96 and 2.58) and their relationship to the normal distribution. Finally, I mention two tests that can be used to test normal distributions for statistical significance. normal distribution, normal probability distribution, standard normal distribution, normal distribution curve, bell shaped curve
Views: 1023016 how2stats
Range, variance and standard deviation as measures of dispersion | Khan Academy
 
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Practice this lesson yourself on KhanAcademy.org right now: https://www.khanacademy.org/math/probability/descriptive-statistics/variance_std_deviation/e/variance?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Watch the next lesson: https://www.khanacademy.org/math/probability/descriptive-statistics/variance_std_deviation/v/variance-of-a-population?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Missed the previous lesson? https://www.khanacademy.org/math/probability/descriptive-statistics/box-and-whisker-plots/v/range-and-mid-range?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you're going to be challenged AND love it! About Khan Academy: Khan Academy offers practice exercises, instructional videos, and a personalized learning dashboard that empower learners to study at their own pace in and outside of the classroom. We tackle math, science, computer programming, history, art history, economics, and more. Our math missions guide learners from kindergarten to calculus using state-of-the-art, adaptive technology that identifies strengths and learning gaps. We've also partnered with institutions like NASA, The Museum of Modern Art, The California Academy of Sciences, and MIT to offer specialized content. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Probability and Statistics channel: https://www.youtube.com/channel/UCRXuOXLW3LcQLWvxbZiIZ0w?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 1228540 Khan Academy
R Data Analysis Solution: Generate Reports of Data Analysis with R Markdown & knitR | packtpub.com
 
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This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2v1WJoT]. R Markdown provides a simple syntax to define analysis reports. Based on such a report definition, knitr can generate reports in HTML, PDF, Microsoft Word format, and several presentation formats. • Create a new R Markdown document • Generate an HTML document based on the markdown file • Generate a PDF or Word document For the latest Big Data and Business Intelligence video tutorials, please visit http://bit.ly/1HCjJik Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 2516 Packt Video
Dr Jessica Stauth: Portfolio and Risk Analytics in Python with pyfolio
 
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PyData NYC 2015 Pyfolio is a recent open source library developed by Quantopian to support common financial analyses and plots of portfolio allocations over time. Pyfolio is a tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm and features advanced statistical analyses using Bayesian modeling. (http://quantopian.github.io/pyfolio/). Python is quickly establishing itself as the lingua franca for quantitative finance. The rich stack of open source tools like Pandas, the Jupyter notebook, and Seaborn, provide quants with a rich and powerful tool belt to analyze financial data. While useful for Quantitative Finance, these general purpose libraries lack support for common financial analyses like the computation of certain risk factors (Sharpe, Fama-French), or plots of portfolio allocations over time. Pyfolio is a recent open source tool developed by Quantopian to fill this gap. At the core of pyfolio is a so-called tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm/portfolio. In addition, the library features advanced statistical analyses using Bayesian modeling. The software can be used stand-alone, w**ith our open-source backtesting library Zipline and is available on the Quantopian platform. This talk will be a tutorial of how to get the most out of this library (http://quantopian.github.io/pyfolio/). Slides available here: http://www.slideshare.net/JessStauth/pydata-nyc-2015 Relevant github repos: https://github.com/quantopian/pyfolio https://github.com/quantopian/zipline
Views: 33773 PyData
MCQ ON BUSINESS STATISTICS FOR UGC NET COMMERCE
 
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Business Statistics objective type questions and answers with explanations. It will be very useful for those who are preparing of Commerce NET or SET
Views: 32645 Abbas Vattoli
SAS Tutorials For Beginners | SAS Training | SAS Tutorial For Data Analysis | Edureka
 
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This SAS Tutorial is specially designed for beginners, it starts with Why Data Analytics is needed, goes on to explain the various tools in Data Analytics, and why SAS is used among them, towards the end we will see how we can install SAS software and a short demo on the same! In this SAS Tutorial video you will understand: 1) Why Data Analytics? 2) What is Data Analytics? 3) Data Science Analytics Tools 4) Why SAS? 5) What is SAS? 6) What SAS Solves? 7) Components of SAS 8) How can we practice Base SAS? 9) Demo Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete SAS Training playlist here: https://goo.gl/MMLyuN #SASTraining #SASTutorial #SASCertification How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course The SAS training course is designed to provide knowledge and skills to become a successful Analytics professional. It starts with the fundamental concepts of rules of SAS as a Language to an introduction to advanced SAS topics like SAS Macros. - - - - - - - - - - - - - - Why Learn SAS? The Edureka SAS training certifies you as an ‘in demand’ SAS professional, to help you grab top paying analytics job titles with hands-on skills and expertise around data mining and management concepts. SAS is the primary analytics tool used by some of the largest KPOs, Banks like American Express, Barclays etc., financial services irms like GE Money, KPOs like Genpact, TCS etc., telecom companies like Verizon (USA), consulting companies like Accenture, KPMG etc use the tool effectively. - - - - - - - - - - - - - - Who should go for this course? This course is designed for professionals who want to learn widely acceptable data mining and exploration tools and techniques, and wish to build a booming career around analytics. The course is ideal for: 1. Analytics professionals who are keen to migrate to advanced analytics 2. BI /ETL/DW professionals who want to start exploring data to eventually become data scientist 3. Project Managers to help build hands-on SAS knowledge, and to become a SME via analytics 4. Testing professionals to move towards creative aspects of data analytics 5. Mainframe professionals 6. Software developers and architects 7. Graduates aiming to build a career in Big Data as a foundational step Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Website: https://www.edureka.co/sas-training Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Sidharta Mitra, IBM MDM COE Head @ CTS , says, "Edureka has been an unique and fulfilling experience. The course contents are up-to-date and the instructors are industry trained and extremely hard working. The support is always willing to help you out in various ways as promptly as possible. Edureka redefines the way online training is conducted by making it as futuristic as possible, with utmost care and minute detailing, packaged into the a unique virtual classrooms. Thank you Edureka!"
Views: 43641 edureka!
Time Series - 4 Method of Least Squares - Fitting of Linear Trend - Even years
 
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#Statistics #Time #Series #Business #Forecasting #Linear #Trend #Values #LeastSquares #Fitting #Even #Period Definitions  “A time series may be defined as a sequence of values of same variable corresponding to successive points in time.” – W. Z. Hersch  “A time series may be defined as a sequence of repeated measurement of a variable made periodically through time.” – Cecil H. Mayers Analysis of Time Series “The main object of analyzing time series is to understand, interpret and evaluate changes in economic phenomena in the hope of more correctly anticipating the course of future events.” – Hersch A time series is a dynamic distribution, which reveals a good deal of variations over time. Statistical methods are, therefore, required to analyze various types of movements in a time series. There may be cyclical variations in general business activity and there may be short duration seasonal variations. There are also some accidental and random variables. The primary purpose of the analysis of time series is to discover and measure all such types of variations, which characterize a time series. Time series analysis means analyzing the historical patterns of the variable that have occurred in past as a means of predicting the future value of the variable. It helps to identify and explain the following: (i) Any regular or systematic variation in the series of data which is due to seasonality- the ‘seasonal’ (ii) Cyclical patterns. (iii) Trends in the data. (iv) Growth rates of these trends. This method can be useful when no major environmental changes are expected and it does highlight seasonal variations in sales and consumer demand. However, time series analysis is limited when organizations face volatile environments. Components of Time series – The time series are classified into four basic types of variations which are analyzed below: T = Trend S = Seasonal variations C = Cyclic variations I = Irregular fluctuations. This composite series is symbolized by the following general terms: O = T x S x C x I Where O = Original data T = Trend S = Seasonal variations C = Cyclic variations I = Irregular components. This Multiplicative model is to be used when S, C, and I are given in percentages. If, however, their true (absolute) values are known the model takes the additive form i.e., O=T+C+S+I. Algebraic Method For Finding Trend (Method of curve fitting by the principle of Least Squares) Fitting of Linear Trend Let the straight line trend between the given time series values (y) and time (x) be given by the standard equation: y = a + bx Then for any given time ‘x’ the estimated value of ye as given by the equation is ye = a + bx The following two normal equations are used for estimating 'a' and 'b'. Σy = na + bΣx Σxy = aΣx + bΣx^2 Even No. of Years If a n is even, the transformation is x = YEAR - (arithmetic mean of two middle years) / Half Interval NOTE It is not compulsory to divide the numerator by "Half Interval". There are two types of authors, suggesting for such kind of change of scale and not suggesting. I have discussed this point of change of scale in some of lectures because in India and other countries of Indian subcontinent and Asia, in many reference books, and in the books published by the boards of examinations, the authors have suggested this kind of change of scale. Case Fit a straight line equation and obtain trend value: Year 2009 2010 2011 2012 2013 2014 2015 2016 Y (value) 80 90 92 83 94 99 92 104 Time Series, Linear Trend, Method of Least Squares, Statistics, MBA, MCA, BE, CA, CS, CWA, CMA, CPA, CFA, BBA, BCom, MCom, BTech, MTech, CAIIB, FIII, Graduation, Post Graduation, BSc, MSc, BA, MA, Diploma, Production, Finance, Management, Commerce, Engineering , Grade-11, Grade- 12 - www.prashantpuaar.com
Views: 46895 Prashant Puaar
What is OPERATIONS RESEARCH? What does OPERATIONS RESEARCH mean? OPERATIONS RESEARCH meaning
 
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Do you travel a lot? Get yourself a mobile application to find THE CHEAPEST airline tickets deals available on the market: ANDROID - http://android.theaudiopedia.com - IPHONE - http://iphone.theaudiopedia.com or get BEST HOTEL DEALS worldwide: ANDROID - htttp://androidhotels.theaudiopedia.com - IPHONE - htttp://iphonehotels.theaudiopedia.com What is OPERATIONS RESEARCH? What does OPERATIONS RESEARCH mean? OPERATIONS RESEARCH meaning - OPERATIONS RESEARCH definition - OPERATIONS RESEARCH explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Operations research, or operational research in British usage, is a discipline that deals with the application of advanced analytical methods to help make better decisions. Further, the term 'operational analysis' is used in the British (and some British Commonwealth) military, as an intrinsic part of capability development, management and assurance. In particular, operational analysis forms part of the Combined Operational Effectiveness and Investment Appraisals (COEIA), which support British defence capability acquisition decision-making. It is often considered to be a sub-field of mathematics. The terms management science and decision science are sometimes used as synonyms. Employing techniques from other mathematical sciences, such as mathematical modeling, statistical analysis, and mathematical optimization, operations research arrives at optimal or near-optimal solutions to complex decision-making problems. Because of its emphasis on human-technology interaction and because of its focus on practical applications, operations research has overlap with other disciplines, notably industrial engineering and operations management, and draws on psychology and organization science. Operations research is often concerned with determining the maximum (of profit, performance, or yield) or minimum (of loss, risk, or cost) of some real-world objective. Originating in military efforts before World War II, its techniques have grown to concern problems in a variety of industries. Operational research (OR) encompasses a wide range of problem-solving techniques and methods applied in the pursuit of improved decision-making and efficiency, such as simulation, mathematical optimization, queueing theory and other stochastic-process models, Markov decision processes, econometric methods, data envelopment analysis, neural networks, expert systems, decision analysis, and the analytic hierarchy process. Nearly all of these techniques involve the construction of mathematical models that attempt to describe the system. Because of the computational and statistical nature of most of these fields, OR also has strong ties to computer science and analytics. Operational researchers faced with a new problem must determine which of these techniques are most appropriate given the nature of the system, the goals for improvement, and constraints on time and computing power. As a discipline, operational research originated in the efforts of military planners during World War I (convoy theory and Lanchester's laws). In the decades after the two world wars, the techniques were more widely applied to problems in business, industry and society. Since that time, operational research has expanded into a field widely used in industries ranging from petrochemicals to airlines, finance, logistics, and government, moving to a focus on the development of mathematical models that can be used to analyse and optimize complex systems, and has become an area of active academic and industrial research.
Views: 27491 The Audiopedia
Python Tutorial: Working with JSON Data using the json Module
 
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In this Python Programming Tutorial, we will be learning how to work with JSON data. We will learn how to load JSON into Python objects from strings and how to convert Python objects into JSON strings. We will also see how to load JSON from a file and save those Python objects back to files. Let's get started... The code from this video can be found at: https://github.com/CoreyMSchafer/code_snippets/tree/master/Python-JSON Python File Objects: https://youtu.be/Uh2ebFW8OYM If you enjoy these videos and would like to support my channel, I would greatly appreciate any assistance through my Patreon account: https://www.patreon.com/coreyms Or a one-time contribution through PayPal: https://goo.gl/649HFY If you would like to see additional ways in which you can support the channel, you can check out my support page: http://coreyms.com/support/ Equipment I use and books I recommend: https://www.amazon.com/shop/coreyschafer You can find me on: My website - http://coreyms.com/ Facebook - https://www.facebook.com/CoreyMSchafer Twitter - https://twitter.com/CoreyMSchafer Google Plus - https://plus.google.com/+CoreySchafer44/posts Instagram - https://www.instagram.com/coreymschafer/ #Python
Views: 127403 Corey Schafer
Introduction to Logarithms
 
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An introduction to logarithms About Khan Academy: Khan Academy is a nonprofit with a mission to provide a free, world-class education for anyone, anywhere. We believe learners of all ages should have unlimited access to free educational content they can master at their own pace. We use intelligent software, deep data analytics and intuitive user interfaces to help students and teachers around the world. Our resources cover preschool through early college education, including math, biology, chemistry, physics, economics, finance, history, grammar and more. We offer free personalized SAT test prep in partnership with the test developer, the College Board. Khan Academy has been translated into dozens of languages, and 100 million people use our platform worldwide every year. For more information, visit www.khanacademy.org, join us on Facebook or follow us on Twitter at @khanacademy. And remember, you can learn anything.
Views: 1460697 Khan Academy
Research Methods - Introduction
 
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In this video, Dr Greg Martin provides an introduction to research methods, methedology and study design. Specifically he takes a look at qualitative and quantitative research methods including case control studies, cohort studies, observational research etc. Global health (and public health) is truly multidisciplinary and leans on epidemiology, health economics, health policy, statistics, ethics, demography.... the list goes on and on. This YouTube channel is here to provide you with some teaching and information on these topics. I've also posted some videos on how to find work in the global health space and how to raise money or get a grant for your projects. Please feel free to leave comments and questions - I'll respond to all of them (we'll, I'll try to at least). Feel free to make suggestions as to future content for the channel. SUPPORT: —————- This channel has a crowd-funding campaign (please support if you find these videos useful). Here is the link: http://bit.ly/GH_support OTHER USEFUL LINKS: ———————— Channel page: http://bit.ly/GH_channel Subscribe: http://bit.ly/GH_subscribe Google+: http://bit.ly/GH_Google Twitter: @drgregmartin Facebook: http://bit.ly/GH_facebook HERE ARE SOME PLAYLISTS ——————————————- Finding work in Global Health: http://bit.ly/GH_working Epidemiology: http://bit.ly/GH_epi Global Health Ethics: http://bit.ly/GH_ethics Global Health Facts: http://bit.ly/GH_facts WANT CAREER ADVICE? ———————————— You can book time with Dr Greg Martin via Google Helpouts to get advice about finding work in the global health space. Here is the link: http://bit.ly/GH_career -~-~~-~~~-~~-~- Please watch: "Know how interpret an epidemic curve?" https://www.youtube.com/watch?v=7SM4PN7Yg1s -~-~~-~~~-~~-~-
CPM - Critical Path Method||Project Management Technique||Operations Research|| Solved Problem
 
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Please watch this video to understand full CPM concept, and I have given the necessary theory explanation with an example problem, Project Management - CPM [Critical Path Method] Critical Path Network, Project completion time, Total floats and Free floats in simple explanation. How to construct CPM network? What is Project management - cpm? What is forward pass and backward pass in CPM? What is Earliest time and latest completion time? How to find Free floats and total floats? To watch more tutorials pls visit: www.youtube.com/c/kauserwise * Financial Accounts * Corporate accounts * Cost and Management accounts * Operations Research Playlists: For Financial accounting - https://www.youtube.com/playlist?list=PLabr9RWfBcnojfVAucCUHGmcAay_1ov46 For Cost and Management accounting - https://www.youtube.com/playlist?list=PLabr9RWfBcnpgUjlVR-znIRMFVF0A_aaA For Corporate accounting - https://www.youtube.com/playlist?list=PLabr9RWfBcnorJc6lonRWP4b39sZgUEhx For Operations Research - https://www.youtube.com/playlist?list=PLabr9RWfBcnoLyXr4Y7MzmHSu3bDjLvhu
Views: 1386589 Kauser Wise
Time Series - 1 Method of Least Squares - Fitting of Linear Trend - Odd number of years
 
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#Statistics #Time #Series #Business #Forecasting #Linear #Trend #Values #LeastSquares #Fitting #Odd Definitions  “A time series may be defined as a sequence of values of same variable corresponding to successive points in time.” – W. Z. Hersch  “A time series may be defined as a sequence of repeated measurement of a variable made periodically through time.” – Cecil H. Mayers Analysis of Time Series “The main object of analyzing time series is to understand, interpret and evaluate changes in economic phenomena in the hope of more correctly anticipating the course of future events.” – Hersch A time series is a dynamic distribution, which reveals a good deal of variations over time. Statistical methods are, therefore, required to analyze various types of movements in a time series. There may be cyclical variations in general business activity and there may be short duration seasonal variations. There are also some accidental and random variables. The primary purpose of the analysis of time series is to discover and measure all such types of variations, which characterize a time series. Time series analysis means analyzing the historical patterns of the variable that have occurred in past as a means of predicting the future value of the variable. It helps to identify and explain the following: (i) Any regular or systematic variation in the series of data which is due to seasonality- the ‘seasonal’ (ii) Cyclical patterns. (iii) Trends in the data. (iv) Growth rates of these trends. This method can be useful when no major environmental changes are expected and it does highlight seasonal variations in sales and consumer demand. However, time series analysis is limited when organizations face volatile environments. Components of Time series – The time series are classified into four basic types of variations which are analyzed below: T = Trend S = Seasonal variations C = Cyclic variations I = Irregular fluctuations. This composite series is symbolized by the following general terms: O = T x S x C x I Where O = Original data T = Trend S = Seasonal variations C = Cyclic variations I = Irregular components. This Multiplicative model is to be used when S, C, and I are given in percentages. If, however, their true (absolute) values are known the model takes the additive form i.e., O=T+C+S+I. Algebraic Method For Finding Trend (Method of curve fitting by the principle of Least Squares) Fitting of Linear Trend Let the straight line trend between the given time series values (y) and time (x) be given by the standard equation: y = a + bx Then for any given time ‘x’ the estimated value of ye as given by the equation is ye = a + bx The following two normal equations are used for estimating 'a' and 'b'. Σy = na + bΣx Σxy = aΣx + bΣx^2 When Odd No. of Years, [X = (Year – Origin) / Interval] Case Given below are the figures of sales (in '000 units) of a certain shop. Fit a straight line by the method of least square and show the estimate for the year 2017: Year: 2010 2011 2012 2013 2014 2015 2016 Sales: 125 128 133 135 140 141 143 Time Series, Linear Trend, Method of Least Squares, Statistics, MBA, MCA, BE, CA, CS, CWA, CMA, CPA, CFA, BBA, BCom, MCom, BTech, MTech, CAIIB, FIII, Graduation, Post Graduation, BSc, MSc, BA, MA, Diploma, Production, Finance, Management, Commerce, Engineering , Grade-11, Grade- 12 - www.prashantpuaar.com
Views: 87271 Prashant Puaar
Download Quantitative Analysis of Movement: Measuring and Modeling Population PDF
 
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You can download this book in PDF version for FREE at http://bit.ly/1DeDfIV
Views: 7 Aldo Earth
Data Analysis Presentation CAEG June 1 2017
 
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"Automating Complex Data Analysis" Presentation by John F. McGowan, Ph.D. for the Caltech Alumni Entrepreneurship Group (CAEG) on June 1, 2017 Automating Complex Data Analysis: A Disruptive Business Opportunity Complex data analysis is a multi-billion dollar business. Major data analysis tool makers alone report revenues totaling over $4 billion per year: SAS Institute ($3 Billion), IBM SPSS ($0.3-1.0 Billion), MathWorks ($800 Million), Wolfram Research (at least $40 million), and a number of less well known smaller firms. Medical businesses, financial firms, and science and engineering organizations spend billions of dollars per year on these tools and the salaries of the analysts, scientists, and engineers performing the analyses. Complex data analysis increasingly determines the approval of new drugs and medical treatments, medical treatment decisions for individual patients, investment decisions for banks, pensions, and individuals, important public policy decisions, and the design and development of products from airplanes and cars to smart watches and children’s toys. State-of-the-art complex data analysis is labor intensive, time consuming, and error prone — requiring highly skilled analysts, often Ph.D.’s or other highly educated professionals, using tools with large libraries of built-in statistical and data analytical methods and tests: Excel, MATLAB, the R statistical programming language and similar tools. Results often take months or even years to produce, are often difficult to reproduce, difficult to present convincingly to non-specialists, difficult to audit for regulatory compliance and investor due diligence, and sometimes simply wrong, especially where the data involves human subjects or human society. Many important problems in business and society remain unsolved despite modern computer-intensive data analysis methods. A widely cited report from the McKinsey management consulting firm suggests that the United States may face a shortage of 140,000 to 190,000 such human analysts by 2018: http://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/big-data-the-next-frontier-for-innovation Automating complex data analysis using Artificial Intelligence (AI) and similar technologies can substantially reduce the cost, time to completion, increase the quality, and yield results that are currently impossible. New tools that automate complex data analysis are a disruptive business opportunity. This talk discusses the current state-of-the-art in attempts to automate complex data analysis. It discusses widely used tools such as SAS, MATLAB and Excel and their current limitations. It discusses current products that attempt to automate complex data analysis from companies such as Skytree and research prototypes such as the Automatic Statistician from Cambridge University — funded in part by Google. It discusses what the automation of complex data analysis may look like in the future, possible methods of automating complex data analysis, and problems and pitfalls of automating complex data analysis. The talk will include a demonstration of a prototype system for automating complex data analysis. PDF of Slides: https://goo.gl/uOkocB A written version of my presentation is available online at: http://wordpress.jmcgowan.com/wp/wp-content/uploads/2017/06/Automating-Complex-Data-Analysis-White-Paper.pdf
Views: 125 John McGowan
Introduction to matrices
 
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What a matrix is. How to add and subtract them. Practice this yourself on Khan Academy right now: https://www.khanacademy.org/e/matrix_dimensions?utm_source=YTdescription&utm_medium=YTdescription&utm_campaign=YTdescription About Khan Academy: Khan Academy is a nonprofit with a mission to provide a free, world-class education for anyone, anywhere. We believe learners of all ages should have unlimited access to free educational content they can master at their own pace. We use intelligent software, deep data analytics and intuitive user interfaces to help students and teachers around the world. Our resources cover preschool through early college education, including math, biology, chemistry, physics, economics, finance, history, grammar and more. We offer free personalized SAT test prep in partnership with the test developer, the College Board. Khan Academy has been translated into dozens of languages, and 100 million people use our platform worldwide every year. For more information, visit www.khanacademy.org, join us on Facebook or follow us on Twitter at @khanacademy. And remember, you can learn anything.
Views: 1788859 Khan Academy
Complete MATLAB Tutorial for Beginners
 
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Get The Complete MATLAB Course Bundle! https://josephdelgadillo.com/product/matlab-course-bundle/ Limited FREE coupons! https://goo.gl/xejcB1 Get the courses directly on Udemy! Go From Beginner to Pro with MATLAB! http://bit.ly/2v1e0lL Machine Learn Fundamentals with MATLAB! http://bit.ly/2v3sQs6 The Ultimate Guide for MATLAB App Development! http://bit.ly/2GOodDN MATLAB for Programming and Data Analysis! http://bit.ly/2IIwpWL MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language which is frequently being used by engineering and science students. In this course, we will start learning MATLAB from a beginner level, and will gradually move into more technical and advanced topics. This course is designed to be general in scope which means that it will be beneficial to students in any major. Once, passed a certain learning thresholds, you will definitely enjoy MATLAB Programming. The key benefit of MATLAB is that it makes the programming available to everyone and is very fast to turn ideas into working products compared to some of the conventional programming languages such as Java, C, C++, visual basic and others. Topics covered in the course: Instructor and Course Introduction Handling variables and Creating Scripts Doing Basic Math in MATLAB Operations on Matrices Advance Math Functions with Symbolic Data Type Interacting with MATLAB and Graphics Importing Data into MATLAB File Handling and Text Processing MATLAB Programming Sharing Your MATLAB Results Cell Data Type Tables and Time Tables Working with Structures and Map Container Data Type Converting between Different Data Types
Views: 205824 Joseph Delgadillo
Linear Programming
 
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Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! **DOH! There is a STUPID arithmetic mistake by me at the very end!** Sorry! Linear Programming. I do a complete example! For more free math videos, visit http://PatrickJMT.com
Views: 936032 patrickJMT
Transportation problem [ MODI method - U V method - Optimal  Solution ] :-by #kauserwise
 
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NOTE: Formula "pij = ui+vi-Cij" according to this formula the optimal values should be Zero or less than Zero which mean Zero or negative values, and in this formula if we did not reach the optimality then we should select the maximum positive value to proceed further. If you use this Cij-(u1+vj) formula then the values should be zero or positive value to reach the optimality, and in this formula if we did not reach the optimality then we should select the maximum negative value to proceed further. We can apply either any any one of the formula to find out the optimality. So both the formulas are doing same thing only but the values of sign (- +) will be differ. Here is the video about Transportation problem in Modi method-U V method using north west corner method, optimum solution in operation research, with sample problem in simple manner. Hope this will help you to get the subject knowledge at the end. Thanks and All the best. To watch more tutorials pls use this: www.youtube.com/c/kauserwise * Financial Accounts * Corporate accounts * Cost and Management accounts * Operations Research * Statistics ▓▓▓▓░░░░───CONTRIBUTION ───░░░▓▓▓▓ If you like this video and wish to contribute lls use Paytm. * Paytm a/c : 7401428918 [Every contribution is helpful] Thanks & All the Best!!! ───────────────────────────
Views: 1968489 Kauser Wise
Predicting the Winning Team with Machine Learning
 
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Can we predict the outcome of a football game given a dataset of past games? That's the question that we'll answer in this episode by using the scikit-learn machine learning library as our predictive tool. Code for this video: https://github.com/llSourcell/Predicting_Winning_Teams Please Subscribe! And like. And comment. More learning resources: https://arxiv.org/pdf/1511.05837.pdf https://doctorspin.me/digital-strategy/machine-learning/ https://dashee87.github.io/football/python/predicting-football-results-with-statistical-modelling/ http://data-informed.com/predict-winners-big-games-machine-learning/ https://github.com/ihaque/fantasy https://www.credera.com/blog/business-intelligence/using-machine-learning-predict-nfl-games/ Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w
Views: 84991 Siraj Raval
Introduction to R Programming Part 1
 
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***Part 1 starts at 1 min and 50 seconds with about 28 minutes of tech support to get the program installed. Formal lecture begins at 30 minutes and 30 seconds. Instructor: David Ruau, PhD - http://www.stanford.edu/people/druau By the end of parts I and II, participants will be able to: · Interact with R using commands passed through the console · Import and export data in various formats and transform those data in R · Make statistical graphics plots (and more) · Write small scripts and functions using the R language. For a complete description of the classes & Installing "R" and other packages prior to the class: please see instructions for "Introduction to R programming I & II course" [pdf] http://elane/laneconnex/public/media/documents/R_Workshops_Description_And_Instructions.pdf
Views: 234068 Lane Medical Library
Top Numerical Reasoning Test Tips & Tutorials
 
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Welcome to JobTestPrep’s numerical reasoning test tips tutorial. This series of videos will help you learn how to pass numerical reasoning tests found in assessment companies’ psychometric tests. The hardest part of the numerical reasoning aptitude tests is the rigorous time limits. Learn some pro tips that will help you overcome the pressure and get that job you’re after! https://goo.gl/i175yD Numerical reasoning tips have 3 goals: reduce your response time, achieve a higher score and alleviate stress. No matter what type of numerical reasoning test revision you’re doing, for SHL, Kenexa or any other assessment company, have these numerical tips at your fingertips can have a big impact. To make your work more efficient, it’s important to know how to reduce your response time. The biggest problem with numerical aptitude tests is the rigorous time limits. The average time frame you have to answer each question is 45-75 seconds! But, if you plan out your calculations course to avoid repetitive steps, you will find yourself working much more efficiently. There are a few ways to do this. Using a common multiplier cuts down calculation time by a lot as you cover more ground at once. Ignoring multiplication factors when possible also increases efficiency by avoiding messy calculations. Finally, mastering your calculator can insure you accomplish your work as smoothly as possible. Find out what JTP has to say about getting to know your calculator https://goo.gl/JM1aV3 Top numerical reasoning test tips tutorials are all about finding those shortcuts. That way, you spend less time on calculations, leaving more time for the trickier questions. With the right tips and numerical reasoning test revision up your sleeve, these tricky tests can be a lot easier and quicker. Psychometric tests are a challenge for many but overcoming them gets you one step closer to getting that job! Whether you are facing tests at an assessment centre or in the comfort of your home, numeracy tips are an important thing to know and you can check out a few more by visiting https://goo.gl/i175yD Good luck from Jobtestprep!
Views: 262764 JobTestPrep
The Madness of Railways in the United Kingdom
 
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Ep2. Railways in the UK. An in depth look at the truth and madness that lies behind railways in the United Kingdom. Sources below. ----- Passenger journey data - ORR Data portal Table 12.5: https://dataportal.orr.gov.uk/displayreport/report/html/02136399-b0c5-4d91-a85e-c01f8a48e07e Ticket Revenue data ORR Data portal Table 12.9: https://dataportal.orr.gov.uk/displayreport/report/html/52a56c52-6d3f-49ce-8b92-dbb7b9cbad2c Overall financial position and all rail line financial analysis from ORR "UK rail industry financial information" http://orr.gov.uk/__data/assets/pdf_file/0006/26439/uk-rail-industry-financial-information-2016-17.pdf Network Rail becoming less efficient from ORR report "Annual efficiency and finance assessment of Network Rail" http://orr.gov.uk/__data/assets/pdf_file/0019/25750/annual-efficiency-and-finance-assessment-2016-17.pdf Historical East Coast subsidy / premium data - ORR Data portal Table 1.7: https://dataportal.orr.gov.uk/displayreport/report/html/95218cca-408d-4047-83ce-a542c53b59e6 Historic Rail industry subsidy graph from ORR "Rail Finance 2016-17 Annual Statistical Release" http://orr.gov.uk/__data/assets/pdf_file/0008/25757/rail-finance-statistical-release-2016-17.pdf
Views: 12585 Show Don't Tell
The Complete MATLAB Course: Beginner to Advanced!
 
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Get The Complete MATLAB Course Bundle for 1 on 1 help! https://josephdelgadillo.com/product/matlab-course-bundle/ Get the courses directly on Udemy! Go From Beginner to Pro with MATLAB! http://bit.ly/2v1e0lL Machine Learn Fundamentals with MATLAB! http://bit.ly/2v3sQs6 The Ultimate Guide for MATLAB App Development! http://bit.ly/2GOodDN MATLAB for Programming and Data Analysis! http://bit.ly/2IIwpWL Enroll in the FREE Teachable course! http://jtdigital.teachable.com/p/matlab Time Stamps 00:51 What is Matlab, how to download Matlab, and where to find help 07:52 Introduction to the Matlab basic syntax, command window, and working directory 18:35 Basic matrix arithmetic in Matlab including an overview of different operators 27:30 Learn the built in functions and constants and how to write your own functions 42:20 Solving linear equations using Matlab 53:33 For loops, while loops, and if statements 1:09:15 Exploring different types of data 1:20:27 Plotting data using the Fibonacci Sequence 1:30:45 Plots useful for data analysis 1:38:49 How to load and save data 1:46:46 Subplots, 3D plots, and labeling plots 1:55:35 Sound is a wave of air particles 2:05:33 Reversing a signal 2:12:57 The Fourier transform lets you view the frequency components of a signal 2:27:25 Fourier transform of a sine wave 2:35:14 Applying a low-pass filter to an audio stream 2:43:50 To store images in a computer you must sample the resolution 2:50:13 Basic image manipulation including how to flip images 2:57:29 Convolution allows you to blur an image 3:02:51 A Gaussian filter allows you reduce image noise and detail 3:08:55 Blur and edge detection using the Gaussian filter 3:16:39 Introduction to Matlab & probability 3:19:47 Measuring probability 3:26:53 Generating random values 3:35:40 Birthday paradox 3:43:25 Continuous variables 3:48:00 Mean and variance 3:55:24 Gaussian (normal) distribution 4:03:21 Test for normality 4:10:32 2 sample tests 4:16:28 Multivariate Gaussian
Views: 1008600 Joseph Delgadillo
Laplace transform 1 | Laplace transform | Differential Equations | Khan Academy
 
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Introduction to the Laplace Transform Watch the next lesson: https://www.khanacademy.org/math/differential-equations/laplace-transform/laplace-transform-tutorial/v/laplace-transform-2?utm_source=YT&utm_medium=Desc&utm_campaign=DifferentialEquations Missed the previous lesson? https://www.khanacademy.org/math/differential-equations/second-order-differential-equations/undetermined-coefficients/v/undetermined-coefficients-4?utm_source=YT&utm_medium=Desc&utm_campaign=DifferentialEquations Differential Equations on Khan Academy: Differential equations, separable equations, exact equations, integrating factors, homogeneous equations. About Khan Academy: Khan Academy is a nonprofit with a mission to provide a free, world-class education for anyone, anywhere. We believe learners of all ages should have unlimited access to free educational content they can master at their own pace. We use intelligent software, deep data analytics and intuitive user interfaces to help students and teachers around the world. Our resources cover preschool through early college education, including math, biology, chemistry, physics, economics, finance, history, grammar and more. We offer free personalized SAT test prep in partnership with the test developer, the College Board. Khan Academy has been translated into dozens of languages, and 100 million people use our platform worldwide every year. For more information, visit www.khanacademy.org, join us on Facebook or follow us on Twitter at @khanacademy. And remember, you can learn anything. For free. For everyone. Forever. #YouCanLearnAnything Subscribe to KhanAcademy’s Differential Equations channel:: https://www.youtube.com/channel/UCxSQHGkaDv8UKXE0TUbsOIg?sub_confirmation=1 Subscribe to KhanAcademy: https://www.youtube.com/subscription_center?add_user=khanacademy
Views: 1663220 Khan Academy
[#1]Assignment Problem|Hungarian Method|Operations Research[Solved Problem using Algorithm]
 
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NOTE: After row and column scanning, If you stuck with more than one zero in the matrix, please do the row scanning and column scanning (REPEATEDLY) as much as possible to cover that zeros with lines, based on algorithm If you still find some zeros without covered by lines, then we need to go for [DIAGONAL selection RULE ]for that I have uploaded a separate video to understand that method easily., please watch this link [ [#2]Assignment Problem||Hungarian Method[DIAGONAL RULE] When we Find More than one Zero ] https://youtu.be/-0DEQmp7B9o ▓▓░───CONTRIBUTION ─░▓▓ If you like this video and wish to support this kauserwise channel, please contribute via, * Paytm a/c : 7401428918 * Western Union / MoneyGram [ Name: Kauser, Country: India & Email: [email protected] ] [Every contribution is encouraging US] Thanks & All the Best!!! ──────────────────── Here is the video about assignment problem - Hungarian method on Operations research, In this video we discussed what is assignment problem and how to solve using Hungarian method with step by step procedure of algorithm, hope this will help you to get the subject knowledge at the end. Thanks and All the best. To watch more tutorials pls use this: www.youtube.com/c/kauserwise * Financial Accounts * Corporate accounts * Cost and Management accounts * Operations Research
Views: 1331800 Kauser Wise
World Bank Data Analysis
 
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The task given to our team is a business analytics project on data from World Bank by client, Softsource Pte Ltd. Business analytics is an increasingly important process that most company integrates into their business plan. It enables companies to identify their business needs, determining solutions to their business problems. Data provided from our client consists of not just financial information from countries all over the world, but also includes other information such as countries' education and population statistics. With these data provided, we are supposed to come up with in-depth analysis and discover correlations or trends.
Views: 157 SPMADvideo
Introduction to R Programming Online Course: (Day 1 of 16; Part 1 of 8)
 
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Introduction to R Programming is an open enrollment, live, interactive online course offered by the non-profit Georgia R School (http://georgia-r-school.org). All of the videos associated with this online R course, as well as dozens of other multi-month R courses (and all scripts, files, slides, exercises and data sets) are all available, on an all-inclusive basis, through May of 2013, to anyone with an inexpensive ($100-$125) R-Courses.org user account with the non-profit Georgia R School (see http://www.georgia-r-school.org/R-Courses.html). Anyone on earth with an Internet connection may participate. A course syllabus is here: http://www.georgia-r-school.org/uploads/INTRO-PROG-GENERAL.pdf. The course runs live on Tuesdays from Oct 9, 2012 through Feb 26, 2013 from 11:30AM-1:00PM ET and utilizes R Project software (http://www.r-project.org) and the RStudio (http://rstudio.org) Integrated Development Environment (IDE). Unlike most application development courses taught in the R environment, this course instructs with respect to "general-purpose" application development, as opposed to strictly statistical-simulation-monte carlo methods-type R applications. The course instructor is a PhD 20-year university professor with 30 years of experience in the software development industry. Course participants receive all live class session recordings, as well as all daily course exercises and solutions, R scripts, data files, documentation, slides and software (is freely available at http://cran.r-project.org and http://rstudio.org). Registration will remain open throughout October at discounted costs here: http://shop.georgia-r-school.org/Introduction-to-R-Programming-Oct-Dec-GRS-PROG-1.htm.
Views: 144232 Stuar51XT
Inequality in the UK
 
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Should we care about inequality? This short film shows the differences between rich and poor in the UK and how this has changed over the past 50 years. The film is produced by Econ Films for the Centre for Economic Performance. It is funded by the Economic and Social Research Council and uses data from the Office for National Statistics, British Household Survey and Institute for Fiscal Studies. For more explanation, see the follow-on film: http://tinyurl.com/m9m4234 For more details, please visit: http://cep.lse.ac.uk/ Selected sources: -A recent survey asked a group of over 3,000 British citizens how they think income is divided in the UK [SOURCE: British Social Attitudes Survey] -When asked, three out of every four people said they thought inequality was too high [SOURCE: British Social Attitudes Survey] -Total household income of the UK -- that's around £900 billion [Based on 29.5 million taxpayers in the UK. SOURCE: 'Racing away? Income inequality and the evolution of high incomes', http://www.ifs.org.uk/bns/bn76.pdf] -Based on the latest data for the year 2012, once taxes have been paid, benefits added, and adjustments made for whether people live alone or as part of a family, this is how income is divided. This is the actual inequality of household income in the UK [For details on how inequality is calculated, see: http://www.ifs.org.uk/wheredoyoufitin/about.php] - We can now show how the UK's wealth of around £10 trillion is shared. [SOURCE: Chapter 2, 2012 report, http://www.ons.gov.uk/ons/rel/was/wealth-in-great-britain-wave-2/2008-2010--part-2-/report--chapter-2--total-wealth.html.] -Data on social mobility. SOURCE: Blanden, J, A Goodman, P Gregg, and S Machin (2004), 'Changes in Intergenerational Mobility in Britain' - Data on income and wealth inequality is combined from the Office for National Statistics and the Institute for Fiscal Studies [Living standards, Poverty and Inequality in the UK:2013http://www.ifs.org.uk/comms/r81.pdf ]
Views: 34840 Economic Performance
what is micro & macro economics in hindi
 
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Explain Micro and Macro Economics with example. व्यष्टि और समष्टि अर्थशास्त्र क्या है ?उदाहरण के साथ l Microeconomics is the study of particular markets, and segments of the economy. It looks at issues such as consumer behaviour, individual labour markets, and the theory of firms. Macro economics is the study of the whole economy. It looks at ‘aggregate’ variables, such as aggregate demand, national output and inflation.
Views: 334405 Know Economics