Paid To Predict

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, 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.

A fresh perspective on predicting the market The experience of Wall Street investment manager and analyst Michael McDonald offers a new perspective on how to navigate the turbulent ups and downs of the markets. His innovative approach to the stock market teaches investors how to use new investment strategies intended to replace the "buy and hold forever" strategies of yesterday. McDonald discusses what a "trading range" market is-a roller-coaster ride in which the market will neither gain nor lose much ground-and guides readers through this market with his proven investment strategies. This book provides an understandable way to make sense of the unpredictable stock market, taking into account more complex theories, including chaos and contrarian approaches. Along with his expert advice, McDonald presents four investing paradoxes that will help investors make smarter decisions now and predict where the market is heading, using his proven theories.

Explore the most serious prevalent ethical issues in data science with this insightful new resource The increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of “Black box” algorithms that are difficult or impossible to understand and explain, even for their developers, is a primary source of these unanticipated harms, making modern techniques and methods for manipulating large data sets seem sinister, even dangerous. When put in the hands of authoritarian governments, these algorithms have enabled suppression of political dissent and persecution of minorities. To prevent these harms, data scientists everywhere must come to understand how the algorithms that they build and deploy may harm certain groups or be unfair. Responsible Data Science delivers a comprehensive, practical treatment of how to implement data science solutions in an even-handed and ethical manner that minimizes the risk of undue harm to vulnerable members of society. Both data science practitioners and managers of analytics teams will learn how to: Improve model transparency, even for black box models Diagnose bias and unfairness within models using multiple metrics Audit projects to ensure fairness and minimize the possibility of unintended harm Perfect for data science practitioners, Responsible Data Science will also earn a spot on the bookshelves of technically inclined managers, software developers, and statisticians.

For over a decade, the National Bureau of Economic Research has sponsored the Economics of Aging Program, under the direction of David A. Wise. The program addresses issues that affect the well-being of individuals as they age and a society that is composed increasingly of older people. Within the next twenty years, an unprecedented proportion of Americans will be over sixty-five. New research in the economics of aging is an essential element of understanding what the future holds for this aging population. Inquiries in the Economics of Aging presents both empirical papers that consider questions that are fundamental to public policy and more theoretical contributions that lay new groundwork for future research in the economics of aging. Inquiries in the Economics of Aging provides a timely overview of some of the most important questions facing researchers on aging and outlines new techniques and models that may help to answer these questions. This important volume will be of great interest to specialists and policy makers as it paves the way for future analysis.