Machine Learning


Tom M. Mitchell - 1986
    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

Machine Learning


Ethem Alpaydin - 2016
    It is the basis for a new approach to artificial intelligence that aims to program computers to use example data or past experience to solve a given problem. In this volume in the MIT Press Essential Knowledge series, Ethem Alpayd�n offers a concise and accessible overview of the new AI. This expanded edition offers new material on such challenges facing machine learning as privacy, security, accountability, and bias. Alpayd�n, author of a popular textbook on machine learning, explains that as Big Data has gotten bigger, the theory of machine learning--the foundation of efforts to process that data into knowledge--has also advanced. He describes the evolution of the field, explains important learning algorithms, and presents example applications. He discusses the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances; and reinforcement learning, when an autonomous agent learns to take actions to maximize reward. In a new chapter, he considers transparency, explainability, and fairness, and the ethical and legal implications of making decisions based on data.

Technological Revolutions and Financial Capital: The Dynamics of Bubbles and Golden Ages


Carlota Pérez - 2002
    Carlota Perez draws upon Schumpeter's theories of the clustering of innovations to explain why each technological revolution gives rise to a paradigm shift and a "New Economy" and how these "opportunity explosions", focused on specific industries, also lead to the recurrence of financial bubbles and crises. These findings are illustrated with examples from the past two centuries: the industrial revolution, the age of steam and railways, the age of steel and electricity, the emergence of mass production and automobiles, and the current information revolution/knowledge society. By analyzing the changing relationship between finance capital and production capital during the emergence, diffusion and assimilation of new technologies throughout the global economic system, this book sheds light on some of the most pressing economic problems of today.

The Spider Network: The Wild Story of a Math Genius, a Gang of Backstabbing Bankers, and One of the Greatest Scams in Financial History


David Enrich - 2017
    Tom Hayes, a brilliant but troubled mathematician, became the lynchpin of a wild alliance that included a prickly French trader nicknamed “Gollum”; the broker “Abbo,” who liked to publicly strip naked when drinking; a nervous Kazakh chicken farmer known as “Derka Derka”; a broker known as “Village” (short for “Village Idiot”) who racked up huge expense account bills; an executive called “Clumpy” because of his patchwork hair loss; and a broker uncreatively nicknamed “Big Nose” who had once been a semi-professional boxer. This group generated incredible riches —until it all unraveled in spectacularly vicious, backstabbing fashion.With exclusive access to key characters and evidence, The Spider Network is not only a rollicking account of the scam, but also a provocative examination of a financial system that was crooked throughout.

The Great Wave: Price Revolutions and the Rhythm of History


David Hackett Fischer - 1996
    Now, in The Great Wave, Fischer has done it again, marshaling an astonishing array of historical facts in lucid and compelling prose to outline a history of prices--"the history of change," as Fischer puts it--covering the dazzling sweep of Western history from the medieval glory of Chartres to the modern day. Going far beyond the economic data, Fischer writes a powerful history of the people of the Western world: the economic patterns they lived in, and the politics, culture, and society that they created as a result. As he did in Albion's Seed and Paul Revere's Ride, two of the most talked-about history books in recent years, Fischer combines extensive research and meticulous scholarship with wonderfully evocative writing to create a book for scholars and general readers alike.Records of prices are more abundant than any other quantifiable data, and span the entire range of history, from tables of medieval grain prices to the overabundance of modern statistics. Fischer studies this wealth of data, creating a narrative that encompasses all of Western culture. He describes four waves of price revolutions, each beginning in a period of equilibrium: the High Middle Ages, the Renaissance, the Enlightenment, and finally the Victorian Age. Each revolution is marked by continuing inflation, a widening gap between rich and poor, increasing instability, and finally a crisis at the crest of the wave that is characterized by demographic contraction, social and political upheaval, and economic collapse. The most violent of these climaxes was the catastrophic fourteenth century, in which war, famine, and the Black Death devastated the continent--the only time in Europe's history that the population actually declined.Fischer also brilliantly illuminates how these long economic waves are closely intertwined with social and political events, affecting the very mindset of the people caught in them. The long periods of equilibrium are marked by cultural and intellectual movements--such as the Renaissance, the Enlightenment, and the Victorian Age-- based on a belief in order and harmony and in the triumph of progress and reason. By contrast, the years of price revolution created a melancholy culture of despair.Fischer suggests that we are living now in the last stages of a price revolution that has been building since the turn of the century. The destabilizing price surges and declines and the diminished expectations the United States has suffered in recent years--and the famines and wars of other areas of the globe--are typical of the crest of a price revolution. He does not attempt to predict what will happen, noting that "uncertainty about the future is an inexorable fact of our condition." Rather, he ends with a brilliant analysis of where we might go from here and what our choices are now. This book is essential reading for anyone concerned about the state of the world today.

Bitcoin Billionaires: A True Story of Genius, Betrayal, and Redemption


Ben Mezrich - 2019
    While nursing their wounds in Ibiza, they accidentally run into an eccentric character who tells them about a brand-new idea: cryptocurrency. Immersing themselves in what is then an obscure and sometimes sinister world, they begin to realize “crypto” is, in their own words, "either the next big thing or total bulls--t." There’s nothing left to do but make a bet.From the Silk Road to the halls of the Securities and Exchange Commission, Bitcoin Billionaires will take us on a wild and surprising ride while illuminating a tantalizing economic future. On November 26, 2017, the Winklevoss brothers became the first bitcoin billionaires. Here’s the story of how they got there—as only Ben Mezrich could tell it.

The Simple Path to Wealth: Your road map to financial independence and a rich, free life


J.L. Collins - 2016
    You'll never find a wiser advisor with a bigger heart.” -- Malachi Rempen: Filmmaker, cartoonist, author and self-described ruffian This book grew out of a series of letters to my daughter concerning various things—mostly about money and investing—she was not yet quite ready to hear. Since money is the single most powerful tool we have for navigating this complex world we’ve created, understanding it is critical. “But Dad,” she once said, “I know money is important. I just don’t want to spend my life thinking about it.” This was eye-opening. I love this stuff. But most people have better things to do with their precious time. Bridges to build, diseases to cure, treaties to negotiate, mountains to climb, technologies to create, children to teach, businesses to run. Unfortunately, benign neglect of things financial leaves you open to the charlatans of the financial world. The people who make investing endlessly complex, because if it can be made complex it becomes more profitable for them, more expensive for us, and we are forced into their waiting arms. Here’s an important truth: Complex investments exist only to profit those who create and sell them. Not only are they more costly to the investor, they are less effective. The simple approach I created for her and present now to you, is not only easy to understand and implement, it is more powerful than any other. Together we’ll explore: Debt: Why you must avoid it and what to do if you have it. The importance of having F-you Money. How to think about money, and the unique way understanding this is key to building your wealth. Where traditional investing advice goes wrong and what actually works. What the stock market really is and how it really works. Why the stock market always goes up and why most people still lose money investing in it. How to invest in a raging bull, or bear, market. Specific investments to implement these strategies. The Wealth Building and Wealth Preservation phases of your investing life and why they are not always tied to your age. How your asset allocation is tied to those phases and how to choose it. How to simplify the sometimes confusing world of 401(k), 403(b), TSP, IRA and Roth accounts. TRFs (Target Retirement Funds), HSAs (Health Savings Accounts) and RMDs (Required Minimum Distributions). What investment firm to use and why the one I recommend is so far superior to the competition. Why you should be very cautious when engaging an investment advisor and whether you need to at all. Why and how you can be conned, and how to avoid becoming prey. Why I don’t recommend dollar cost averaging. What financial independence looks like and how to have your money support you. What the 4% rule is and how to use it to safely spend your wealth. The truth behind Social Security.

Discovering Statistics Using SPSS (Introducing Statistical Methods)


Andy Field - 2000
    What's new in the Second Edition? 1. Fully compliant with the latest version of SPSS version 12 2. More coverage of advanced statistics including completely new coverage of non-parametric statistics. The book is 50 per cent longer than the First Edition. 3. Each section of each chapter now has a notation - 1,2 or 3 - referring to the intended level of study. This helps students navigate their way through the book and makes it user-friendly for students of ALL levels. 4. Has a 'how to use this book' section at the start of the text. 5. Characters in each chapter have defined roles - summarizing key points, to pose questions etc 6. Each chapter now has several examples for students to work through. Answers provided on the enclosed CD-ROM

A Few Lessons from Sherlock Holmes


Peter Bevelin - 2013
    It is a practical and enjoyable book that tells in a short-easy-to-read way about what we all can learn from Sherlock Holmes. Peter Bevelin has distilled Arthur Conan Doyle's Sherlock Holmes into bite-sized principles and key quotes. This book will appeal to both Sherlock fans as well as those who want to think better. It contains useful and timeless methods and questions applicable to a variety of important issues in life and business. We could all benefit from 'A few lessons from Sherlock Holmes'.

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics


Paul Teetor - 2011
    The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process.Create vectors, handle variables, and perform other basic functionsInput and output dataTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals, and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your dataWonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language--one practical example at a time.--Jeffrey Ryan, software consultant and R package author

The DAO of Capital: Austrian Investing in a Distorted World


Mark Spitznagel - 2013
    We arrive at his central investment methodology of Austrian Investing, where victory comes not from waging the immediate decisive battle, but rather from the roundabout approach of seeking the intermediate positional advantage (what he calls shi), of aiming at the indirect means rather than directly at the ends. The monumental challenge is in seeing time differently, in a whole new intertemporal dimension, one that is so contrary to our wiring.Spitznagel is the first to condense the theories of Ludwig von Mises and his Austrian School of economics into a cohesive and--as Spitznagel has shown--highly effective investment methodology. From identifying the monetary distortions and non-randomness of stock market routs (Spitznagel's bread and butter) to scorned highly-productive assets, in Ron Paul's words from the foreword, Spitznagel "brings Austrian economics from the ivory tower to the investment portfolio."The Dao of Capital provides a rare and accessible look through the lens of one of today's great investors to discover a profound harmony with the market process--a harmony that is so essential today.

Heard on The Street: Quantitative Questions from Wall Street Job Interviews


Timothy Falcon Crack - 2000
    The interviewers use the same questions year-after-year and here they are---with solutions! These questions come from all types of interviews (corporate finance, sales and trading, quant research, etc), but they are especially likely in quantitative capital markets job interviews. The questions come from all levels of interviews (undergrad, MBA, PhD), but they are especially likely if you have, or almost have, an MS or MBA. The latest edition includes over 120 non-quantitative actual interview questions, and a new section on interview technique---based partly on Dr. Crack's experiences interviewing candidates for the world's largest institutional asset manager. Dr. Crack has a PhD from MIT. He has won many teaching awards and has publications in the top academic, practitioner, and teaching journals in finance. He has degrees in Mathematics/Statistics, Finance, and Financial Economics and a diploma in Accounting/Finance. Dr. Crack taught at the university level for 20 years including four years as a front line teaching assistant for MBA students at MIT. He recently headed a quantitative active equity research team at the world's largest institutional money manager.

R Programming for Data Science


Roger D. Peng - 2015
    

Numsense! Data Science for the Layman: No Math Added


Annalyn Ng - 2017
    Sold in over 85 countries and translated into more than 5 languages.---------------Want to get started on data science?Our promise: no math added.This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations and visuals.Popular concepts covered include:- A/B Testing- Anomaly Detection- Association Rules- Clustering- Decision Trees and Random Forests- Regression Analysis- Social Network Analysis- Neural NetworksFeatures:- Intuitive explanations and visuals- Real-world applications to illustrate each algorithm- Point summaries at the end of each chapter- Reference sheets comparing the pros and cons of algorithms- Glossary list of commonly-used termsWith this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.

The Psychology of Money


Morgan Housel - 2020
    It’s about how you behave. And behavior is hard to teach, even to really smart people. How to manage money, invest it, and make business decisions are typically considered to involve a lot of mathematical calculations, where data and formulae tell us exactly what to do. But in the real world, people don’t make financial decisions on a spreadsheet. They make them at the dinner table, or in a meeting room, where personal history, your unique view of the world, ego, pride, marketing, and odd incentives are scrambled together. In the psychology of money, the author shares 19 short stories exploring the strange ways people think about money and teaches you how to make better sense of one of life’s most important matters.