R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you'll need to accomplish 80 percent of modern data tasks. Lander's self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You'll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, you'll construct several complete models, both linear and nonlinear, and use some data mining techniques. By the time you're done, you won't just know how to write R programs, you'll be ready to tackle the statistical problems you care about most. COVERAGE INCLUDES - Exploring R, RStudio, and R packages - Using R for math: variable types, vectors, calling functions, and more - Exploiting data structures, including data.frames, matrices, and lists - Creating attractive, intuitive statistical graphics - Writing user-defined functions - Controlling program flow with if, ifelse, and complex checks - Improving program efficiency with group manipulations - Combining and reshaping multiple datasets - Manipulating strings using R's facilities and regular expressions - Creating normal, binomial, and Poisson probability distributions - Programming basic statistics: mean, standard deviation, and t-tests - Building linear, generalized linear, and nonlinear models - Assessing the quality of models and variable selection - Preventing overfitting, using the Elastic Net and Bayesian methods - Analyzing univariate and multivariate time series data - Grouping data via K-means and hierarchical clustering - Preparing reports, slideshows, and web pages with knitr - Building reusable R packages with devtools and Rcpp - Getting involved with the R global community

    Your online and in-store purchasing patterns are recorded, and reveal if you're unemployed, sick, or pregnant. Your e-mails and texts expose your intimate and casual friends. Google knows what you’re thinking because it saves your private searches. Facebook can determine your sexual orientation without you ever mentioning it.The powers that surveil us do more than simply store this information. Corporations use surveillance to manipulate not only the news articles and advertisements we each see, but also the prices we’re offered. Governments use surveillance to discriminate, censor, chill free speech, and put people in danger worldwide. And both sides share this information with each other or, even worse, lose it to cybercriminals in huge data breaches.Much of this is voluntary: we cooperate with corporate surveillance because it promises us convenience, and we submit to government surveillance because it promises us protection. The result is a mass surveillance society of our own making. But have we given up more than we’ve gained? In Data and Goliath, security expert Bruce Schneier offers another path, one that values both security and privacy. He brings his bestseller up-to-date with a new preface covering the latest developments, and then shows us exactly what we can do to reform government surveillance programs, shake up surveillance-based business models, and protect our individual privacy. You'll never look at your phone, your computer, your credit cards, or even your car in the same way again.

    Drawing on his experience as a medical researcher, Vickers blends insightful explanations and humor, with minimal math, to help readers understand and interpret the statistics they read every day. Describing data; Data distributions; Variation of study results: confidence intervals; Hypothesis testing; Regression and decision making; Some common statistical errors, and what they teach us For all readers interested in statistics.

    The presentation of consolidation material and the use of excerpts from popular business press and references to real world companies and governmental and non-profit institutions are used to illustrate key concepts and maintain a strong student orientation.

    Please note this book only contains two words and is entirely satire.

    Bayesian statistics is taught in most first-year statistics classes across the nation, but there is one major problem that many students (and others who are interested in the theorem) face. The theorem is not intuitive for most people, and understanding how it works can be a challenge, especially because it is often taught without visual aids. In this guide, we unpack the various components of the theorem and provide a basic overview of how it works - and with illustrations to help. Three scenarios - the flu, breathalyzer tests, and peacekeeping - are used throughout the booklet to teach how problems involving Bayes Theorem can be approached and solved. Over 60 hand-drawn visuals are included throughout to help you work through each problem as you learn by example. The illustrations are simple, hand-drawn, and in black and white. For those interested, we have also included sections typically not found in other beginner guides to Bayes Rule. These include: A short tutorial on how to understand problem scenarios and find P(B), P(A), and P(B|A). For many people, knowing how to approach scenarios and break them apart can be daunting. In this booklet, we provide a quick step-by-step reference on how to confidently understand scenarios.A few examples of how to think like a Bayesian in everyday life. Bayes Rule might seem somewhat abstract, but it can be applied to many areas of life and help you make better decisions. It is a great tool that can help you with critical thinking, problem-solving, and dealing with the gray areas of life. A concise history of Bayes Rule. Bayes Theorem has a fascinating 200+ year history, and we have summed it up for you in this booklet. From its discovery in the 1700’s to its being used to break the German’s Enigma Code during World War 2, its tale is quite phenomenal.Fascinating real-life stories on how Bayes formula is used in everyday life.From search and rescue to spam filtering and driverless cars, Bayes is used in many areas of modern day life. We have summed up 3 examples for you and provided an example of how Bayes could be used.An expanded definitions, notations, and proof section.We have included an expanded definitions and notations sections at the end of the booklet. In this section we define core terms more concretely, and also cover additional terms you might be confused about. A recommended readings section.From The Theory That Would Not Die to a few other books, there are a number of recommendations we have for further reading. Take a look! If you are a visual learner and like to learn by example, this intuitive booklet might be a good fit for you. Bayesian statistics is an incredibly fascinating topic and likely touches your life every single day. It is a very important tool that is used in data analysis throughout a wide-range of industries - so take an easy dive into the theorem for yourself with a visual approach!If you are looking for a short beginners guide packed with visual examples, this booklet is for you.

    With it you can prime yourself with the key concepts of statistics before getting involved in the associated calculations. Using words and diagrams instead of figures, formulae and equations, Derek Rowntree makes statistics accessible to those who are non-mathematicians. And just to get you into the spirit of things. Rowntree has included questions in his argument; answer them as you go and you will be able to tell how far you have mastered the subject.

    If you have not yet bought the original copy, make sure to purchase it before buying this unofficial summary from aBookaDay. SPECIAL OFFER $2.99 (Regularly priced: $3.99) OVERVIEW This review of The Big Short: Inside the Doomsday Machine by Michael Lewis provides a chapter by chapter detailed summary followed by an analysis and critique of the strengths and weaknesses of the book. The main theme explored in the book is how corruption and greed in Wall Street caused the crash of the subprime mortgage market in 2008. Despite being completely preventable, the big firms in Wall Street chose to ignore the oncoming fall in favor of making money. Michael Lewis introduces characters—men outside of the Wall Street machine—who foresaw the crisis and, through several different techniques, were able to predict how and when the market would fall. Lewis portrays these men—Steve Eisman, Mike Burry, Charlie Ledley, and Jamie Mai—as the underdogs, who were able to understand and act upon the obvious weaknesses in the subprime market. Lewis’s overall point is to demonstrate how the Wall Street firms were manipulating the market. They used loans to cash in on the desperation of middle-to-lower class Americans, and then ultimately relied on the government to bail them out when the loans were defaulted. Using anecdotes and interviews from the men who were involved first-hand, the author makes the case that Wall Street, and how they conducted business in regards to the subprime mortgage market, is truly corrupt beyond repair, and the men he profiles in this novel were trying to make the best out of a bad situation. By having the words from the sources themselves, this demonstrates Lewis’s search for the truth behind what actually happened. Ultimately, we as an audience can not be sure if the intentions of these underdogs were truly good, but Lewis does an admirable job presenting as many sides to the story as possible. The central thesis of the work is that the subprime mortgage crisis was caused by Wall Street firms pushing fraudulent loans upon middle-to-lower class Americans that they would essentially not be able to afford. Several people outside of Wall Street were able to predict a crash in the market when these loans would be defaulted on, and bought insurance to bet against the market (essentially, buying short). Over a time period from roughly 2005-2008, the market crashed and huge banks and firms lost billions of dollars, filed for bankruptcy, or were bailed out by the government. These men, the characters of Lewis’s novel, were able to bet against the loans and made huge amounts of money, but it was not quite an easy journey. Michael Lewis is a non-fiction author and financial journalist. He has written several novels—notably Liar’s Poker in 1989, Moneyball in 2003, and The Blind Side in 2006. Born in New Orleans, he attended Princeton University, receiving a BA degree in Art History. After attending London School of Economics and receiving his masters there, he was hired by Salomon Brothers where he experienced much about what he wrote about in Liar’s Poker. He is currently married, with three children and lives in Berkeley, California. SUMMARY PROLOGUE: POLTERGEIST Michael Lewis begins his tale of the remarkable—and strange—men who predicted the immense fall of the housing market by immediately exposing himself as the exact opposite type of person from them. He explains to the reader that he has no background in accounting, business, or money managing.

    Levitt's and Stephen J. Dubner's book. This is a summary of Steven D. Levitt's and Stephen J. Dubner's book. It provides a detailed and concise description of their books' content, key ideas and facts. In Think Like a Freak, economist Steven Levitt and journalist Stephen Dubner advice how to master the economic way of thinking described in their previous bestsellers. To say it briefly, thinking like a Freak means being willing to think outside the box. The book offers advice, which may be useful to those who want to make better decisions and achieve better results when dealing with minor issues or major worldwide reforms. The kind of thinking, which is promoted in the book, is inspired by the economic approach. The economic approach is both simpler and broader than merely focusing on the economy. It claims to be independent of ideology, and it uses data in order to understand how the world works, how incentives thrive, how resources are distributed, and what prevents people from getting those resources. --------------------- Book summaries published by Brief, Concise and to the Point Publishing are designed to keep readers up to date and knowledgeable regarding new and significant books. Book summaries are perfect for people, especially busy professionals, who do not have the time to read books in their entirety. The main benefits of reading book summaries published by Brief, Concise and to the Point Publishing: 1. Our book summaries help you save your time and money. Instead of spending days or even weeks reading an important book, simply take one or two hours to read our concise book summary. It will introduce you to the book's primary content, ideas, arguments and facts. It will also help you decide whether it is worthwhile to invest your time and money in the entire book. 2. Our book summaries are truly comprehensive. Some other publishers' superficial book summaries do not exceed 15 to 20 pages, although they are presented as lengthy summaries. Our extensive book summaries include all the essential information you need to know. 3. Our books help you retain more information pertaining to the book's content. Academic studies have proven that people retain more of what they read in a summary as compared with what they remember after reading a book. Please note that according to the U.S. copyright law, the ideas and facts presented in books, as well as book titles, are not protected by copyright law.

    

    In an instructive and conversational tone, Cody clearly explains how to program SAS, illustrating with one or more real-life examples and giving a detailed description of how the program works.

    It repays us many times over to be good economists. Economic issues are active in our lives every day. However, when the subject of economics comes up in conversation or on the news, we can find ourselves longing for a more sophisticated understanding of the fundamentals of economics.36 lectures | 30 minutes each.

    Though no large financial institution has recently gone bust in this country, white-collar criminals, scam artists, Ponzi schemers and organized crime, from the Hells Angels to the Russian mafia, know that Canada is the place in the Western world to rip off investors. And the fraudsters do so with little fear of being caught and punished. Thieves of Bay Street investigates Canada's biggest financial scandals of recent years. Readers will learn what banks do with investors' money and what happens when they lose it. They will meet the bogus investment gurus, the brokers who lose money with both reckless abandon and impunity, the bankers who squander money in toxic investments, the lawyers who protect them and the regulators who do nothing to keep them from doing it again. And most importantly, they'll meet the victims who are demanding that our vaunted banking sector finally come clean on its dirtiest secret.

    What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such issues for decades. And the solutions they've found have much to teach us.In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

    The book studies the development of familiar cultural practices from India and around the world and links the regular to the esoteric and explains everything from Game Theory to the Cobra Effect without depending on graphs or equations-a modern-day miracle!Through disarmingly simple prose, the book demystifies economic theories, offers delightful insights, and provides nuance without jargon. Each chapter of this book will give you the tools to meaningfully engage with a subject that has long been considered alienating but is unavoidable in its relevance.