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.

    Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data.It's increasingly difficult to know what's true. Misinformation, disinformation, and fake news abound. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don't feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data.You don't need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit.We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

     This is the first financial book in which the author REVEALS HOW HE, PERSONALLY, MAKES HIS OWN MONEY. We are living in an epic period of change, danger and opportunity. The economy is crashing and booming every few years. People are getting fired and replaced by computers and Chinese workers. The stock market crashes with regularity. Every "fix" from the government makes things worse. The Old World has been demolished... and people are desperate for answers. James Altucher's "The Choose Yourself Guide To Wealth" contains those answers. This is the field guide to the "New World" we live in. You can play by the old rules and get left behind, or you can use these new ideas and become wealthy. This is not a book for the faint of heart. Read at your own risk, because sometimes the truth is hard to take. But for those who are ready to hear, James provides an updated map of the new territory for generating wealth and freedom. This book is the eye-opener of the century, it is the guide to building, keeping, and investing your money and breaking free from the chains of rusted, old thinking.

    Each self-contained chapter consists of three sections. The first describes the statistic, including how it is used and what information it provides. The second section reviews how it works, how to calculate the formula, the strengths and weaknesses of the technique, and the conditions needed for its use. The final section provides examples that use and interpret the statistic. A glossary of terms and symbols is also included.New features in the second edition include:an interactive CD with PowerPoint presentations and problems for each chapter including an overview of the problem's solution; new chapters on basic research concepts including sampling, definitions of different types of variables, and basic research designs and one on nonparametric statistics; more graphs and more precise descriptions of each statistic; and a discussion of confidence intervals.This brief paperback is an ideal supplement for statistics, research methods, courses that use statistics, or as a reference tool to refresh one's memory about key concepts. The actual research examples are from psychology, education, and other social and behavioral sciences.Materials formerly available with this book on CD-ROM are now available for download from our website www.psypress.com. Go to the book's page and look for the 'Download' link in the right-hand column.

    You've reached major milestones and accumulated more assets than you dreamed possible, and yet you hesitate. “Can I retire?” This book will help answer that question by showing you…. The tools you need to live a secure and independent retirement, without worrying about money What you must know before leaving a career behind How much it will cost you to live in retirement, and how to manage your cash flow The current choices for retirement health care, including lesser-known but effective options The threat from inflation: two secrets that politicians and bankers will never admit A realistic assessment of the impact that income taxes will have on your retirement Social Security’s role in your retirement: when you should claim and how much it’s worth to you How to construct and manage an investment portfolio for income and growth in retirement About immediate annuities and why you need multiple sources of retirement income The key variables and unknowns in your retirement withdrawal equation Reviews of the best retirement calculators, and tips for how to use them accurately Beyond the simplistic 4% Rule to the latest research on safe withdrawal rates Realistic bracketing of your retirement savings needs, without over caution or overconfidence The history of economic cycles and the related asset classes for optimal retirement security A survey of strategies plus original research for how to orchestrate your retirement distributions A practical retirement fuel gauge alerting you to problems while you still have time to act Backup plans: the lifeboat strategies for ensuring you'll never be without essential income The 6 crucial questions to answer before you can retire The one, simple, powerful, non-financial reason that you can and should retire earlier than later

    It will teach you how to get a great credit score, how to save hundreds on bills, and offer practical advice on every difficult conversation you’ve been avoiding including:Housing (for renters and buyers)Student LoansPensionsPaying off debtStocks and sharesEthical investmentsMoney and Mental healthMoney and LoveThis essential book will give you the confidence and clarity to take back control of your bank account, enabling you to thrive in all areas of your life.

    This has been my daily experience for the past decade and even traders who have tried everything for years without success can make their first profits if the art of trading is explained to them in the right way. However, the keyword “in the right way” is important here. This book focuses on technical analysis, explanation and interpretation of price movements and chart patterns as well as on learning effective, ready-to-use trading strategies. However, it is important to go beyond the usual technical analysis, and to analyze the behavior of traders based on psychological factors and phenomena of mass psychology as well. The price movements on the international financial markets arise because millions of people interact with each other every day. Buying and selling decisions are influenced by emotions and human behavioral patterns. Whether we are looking at a speculator from China 200 years ago, a Wall Street pit trader from New York 80 years ago or a modern-day "Joe Bloggs trader”, trading from his/her smartphone – the human components, i.e. emotions and instincts, hardly differ. Greed, fear, uncertainty and the willingness to take risks have determined human actions for millennia and, of course, also how people have maneuvered their money around the world's markets for centuries. Those who learn to read the buyer and seller interaction from the charts will be able to read and handle any price movement. This is true because all price charts follow universal and timeless rules that can be successfully interpreted with the help of effective technical analysis. Over the years, more than one million visitors have already searched for information about trading on our website www.tradeciety.com. Every day, traders ask us how they can understand technical analysis and trading in a better manner. This book is a result of the motivation to answer these questions collectively. It is the book I would have wished for at the beginning of my trading career over 15 years ago. The first section of this book provides comprehensive knowledge of the fundamentals and individual components of technical analysis and price analysis. The second section focuses on the most important trading patterns as well as the correct interpretation of chart formations. We will explore potential entry signal points and trading strategies so that traders can now already make sense of their own charts with confidence. The third and final section focuses on developing a customized trading strategy. In addition to an insight into important psychological trading concepts, traders will get numerous practical tips to ensure that they handle their trading professionally at the end of this book. The goal of this book is it to enable the reader to look behind the price movements and understand why prices rise and fall, how buyers and sellers interact and thus to make effective trading decisions. The comprehensive and step-by-step knowledge of technical analysis ultimately makes it possible to interpret any chart situation and, thus, hopefully, become an independent trader.

    Bull By The Horns: Fighting To Save Main Street From Wall Street, by Bair, Sheila

    Much greater than space travel or perhaps even the next revolutionary medical breakthrough, what is at stake is the whole idea of the good life as we have known it.Immigration and inequality, globalization and technological disruption, slowing growth and accelerating climate change--these are sources of great anxiety across the world, from New Delhi and Dakar to Paris and Washington, DC. The resources to address these challenges are there--what we lack are ideas that will help us jump the wall of disagreement and distrust that divides us. If we succeed, history will remember our era with gratitude; if we fail, the potential losses are incalculable.In this revolutionary book, renowned MIT economists Abhijit V. Banerjee and Esther Duflo take on this challenge, building on cutting-edge research in economics explained with lucidity and grace. Original, provocative, and urgent, Good Economics for Hard Times makes a persuasive case for an intelligent interventionism and a society built on compassion and respect and show how economics, when done right, can help us solve the thorniest social and political problems of the day. It is an extraordinary achievement, one that shines a light to help us appreciate and understand our precariously balanced world.

    Zip. Zero. Inside, he shows you how to get started and breaks day trading down by clearly explaining: -What computer equipment you'll need -How much money is required -The technical jargon of day trading -Key strategies you'll employ while trading -How you can manage risk Most important, Sincere lets you in on the biggest secret of all: how to master the mind game of day trading. Thousands of day traders have watched their bank accounts balloon thanks to Wall Street. Now you can get into the market and enter their coveted ranks.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    The accessible, step-by-step format of this guide includes the latest examples, charts, and additions to reflect the changing markets. It also includes new and updated discussions on other options issues, such as Long-Term Equity Anticipation Securities (LEAPS) and the intricacies of options taxation, as well as understandable instructions about how to master options terminology and concepts, read the market, utilize new online resources, and more. Filled with in-depth insights and practical advice, this straightforward resource shows readers how options work as well as where they can fit into anyone's personal investment plan.

    While such visualizations can better inform us, they can also deceive by displaying incomplete or inaccurate data, suggesting misleading patterns—or simply misinform us by being poorly designed, such as the confusing “eye of the storm” maps shown on TV every hurricane season.Many of us are ill equipped to interpret the visuals that politicians, journalists, advertisers, and even employers present each day, enabling bad actors to easily manipulate visuals to promote their own agendas. Public conversations are increasingly driven by numbers, and to make sense of them we must be able to decode and use visual information. By examining contemporary examples ranging from election-result infographics to global GDP maps and box-office record charts, How Charts Lie teaches us how to do just that.

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples