This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks. It is based in part on the authors blog posts, lecture materials, and tutorials. The author is one of the co-developers of the Johns Hopkins Specialization in Data Science the largest data science program in the world that has enrolled more than 1.76 million people. The book is useful as a companion to introductory courses in data science or data analysis. It is also a useful reference tool for people tasked with reading and critiquing data analyses. It is based on the authors popular open-source guides available through his Github account (https://github.com/jtleek). The paper is also available through Leanpub (https://leanpub.com/datastyle), if the book is purchased on that platform you are entitled to lifetime free updates.

    It shows readers how to step back from coding to consider design strategies and attempt to get into the head of the designer.

    With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."-- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."-- Tim Wolters, CTO, Collective Intellect

    It already drives most of the world’s top technology companies. And now it’s starting to spread to every domain where leaders wrestle with complex projects. If you’ve ever been startled by how fast the world is changing, Scrum is one of the reasons why. Productivity gains of as much as 1200% have been recorded, and there’s no more lucid – or compelling – explainer of Scrum and its bright promise than Jeff Sutherland, the man who put together the first Scrum team more than twenty years ago. The thorny problem Jeff began tackling back then boils down to this: people are spectacularly bad at doing things with agility and efficiency. Best laid plans go up in smoke. Teams often work at cross purposes to each other. And when the pressure rises, unhappiness soars. Drawing on his experience as a West Point-educated fighter pilot, biometrics expert, early innovator of ATM technology, and V.P. of engineering or CTO at eleven different technology companies, Jeff began challenging those dysfunctional realities, looking for solutions that would have global impact. In this book you’ll journey to Scrum’s front lines where Jeff’s system of deep accountability, team interaction, and constant iterative improvement is, among other feats, bringing the FBI into the 21st century, perfecting the design of an affordable 140 mile per hour/100 mile per gallon car, helping NPR report fast-moving action in the Middle East, changing the way pharmacists interact with patients, reducing poverty in the Third World, and even helping people plan their weddings and accomplish weekend chores. Woven with insights from martial arts, judicial decision making, advanced aerial combat, robotics, and many other disciplines, Scrum is consistently riveting. But the most important reason to read this book is that it may just help you achieve what others consider unachievable – whether it be inventing a trailblazing technology, devising a new system of education, pioneering a way to feed the hungry, or, closer to home, a building a foundation for your family to thrive and prosper.

    

    We all want them to grow up to be confident and positive adults. Raising a child to be resilient and able to deal with life's ups and downs is also something that most parents strive for. Confident Kids will give you practical strategies for shaping and improving your child's outlook and mindset. Parents have a huge influence over the way their children think and deal with life's situations and events. Happy and successful children usually grow up to be well-adjusted adults who lead fulfilling lives. Click on look "inside" the book and check out the Contents page. Follow our advice and help your child to achieve their full potential by being confident, positive, respectful, resilient, focused and organized.

    Scott Fitzgerald.”—The Philadelphia Inquirer “This book brings back marvelous memories of a very special time.”—Frank Sinatra Called “a living compendium of a hundred years of social history” by The New York Times Book Review, Peter Duchin has lived through tremendous highs and dismal lows. Orphaned by his glamorous parents, the Newport debutante Marjorie Oelrichs and the famous bandleader Eddy Duchin, he was raised in the privileged, old-money world of Averell Harriman, the diplomat and former governor of New York. He grew up to be one of America’s preeminent bandleaders, effortlessly entertaining and charming partygoers at thousands of society galas, from the White House to Truman Capote’s Black and White Ball. In Ghost of a Chance, he looks back on a life that another man may not have survived. And as he relates the frank, often surprising recollections of the many friends and famous figures who made up the strange family of his youth, Duchin chronicles the changing face of social life in America. Praise for Ghost of a Chance   “A tale told with wit and charm . . . It is a sprightly, engaging, and at times hilarious look back at a life spent in music, show business, and what used to be called society.”—The Boston Globe“A bittersweet gem of a book.”—The Philadelphia Inquirer“Peter Duchin’s glamorous story is about absent fathers, surrogate mothers, and dwelling on the edges of money and power in a tuxedoed world.”—Gay Talese“A great read.”—Frank Sinatra