Is your company ready?If you read nothing else on how intelligent machines are revolutionizing business, read these 10 articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand how these technologies work together, how to adopt them, and why your strategy can't ignore them. In this book you'll learn how: Data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights Blockchain has the potential to restructure the economy Drones and driverless vehicles are becoming essential tools 3-D printing is making new business models possible Augmented reality is transforming retail and manufacturing Smart speakers are redefining the rules of marketing Humans and machines are working together to reach new levels of productivity This collection of articles includes "Artificial Intelligence for the Real World," by Thomas H. Davenport and Rajeev Ronanki; "Stitch Fix's CEO on Selling Personal Style to the Mass Market," by Katrina Lake; "Algorithms Need Managers, Too," by Michael Luca, Jon Kleinberg, and Sendhil Mullainathan; "Marketing in the Age of Alexa," by Niraj Dawar; "Why Every Organization Needs an Augmented Reality Strategy," by Michael E. Porter and James E. Heppelmann; "Drones Go to Work," by Chris Anderson; "The Truth About Blockchain," by Marco Iansiti and Karim R. Lakhani; "The 3-D Printing Playbook," by Richard A. D’Aveni; "Collaborative Intelligence: Humans and AI Are Joining Forces," by H. James Wilson and Paul R. Daugherty; "When Your Boss Wears Metal Pants," by Walter Frick; and "Managing Our Hub Economy," by Marco Iansiti and Karim R. Lakhani.

    More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversity--and possibly dilution.This guide, collaboratively written by over a hundred members of the Python community, describes best practices currently used by package and application developers. Unlike other books for this audience, The Hitchhiker's Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.

    One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.

    A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. The focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. The text contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance, and economics.

    A young page in Queen Elizabeth and Prince Philip’s wedding, in thirty short years William became the House of Windsor's first modern prince but has been largely forgotten. He tested the limits of royal convention in work and love by pursuing a career in business and diplomacy and dating women who could never be accepted as a royal bride. William also lived an adventurous life, escaping several near death experiences during travels around the world, witnessing one of the most tragic periods in American history, and becoming a competitive pilot before his life was cut short in a tragic accident.Based on personal accounts by the family and friends who knew William best, extracts from his own reflections on his life and family, and photographs at different stages of his life, this book provides a unique glimpse into a prince’s coming of age and what growing up in the British royal family is really like.

    Pick up this book only if you want to be inspired to change the world’ —–KAPIL DEVA Delhi brat studying fashion design at Leeds College of Art decides to devote her final-year project to ‘women’s empowerment'. What begins as a one-off engagement with the lives of acid-attack survivors draws her back to India to shoot a documentary on their lives. Then, an effort to raise funds for one of the survivors catapults Ria Sharma into the corrosive, devastating world of acid attacks. Today, she runs the award-winning NGO Make Love Not Scars, which works with survivors to raise funds. This is the story of how, over the years, Ria slowly learnt to find her groove as a campaigner and crusader as well as counter death threats, ageism and sexism. Her own story is closely woven with the stories of the many women who have helped her grow from a fickle girl into a woman of substance. Peppered with humour and bubbling with wisdom, Make Love Not Scars is an unusual coming-of-age tale.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    Included are step-by-step instructions on how to carry out Bayesian data analyses.Download Link : readbux.com/download?i=0124058884            0124058884 Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan PDF by John Kruschke

    These few days will validate Dale Whitehead’s work—or expose him as a fraud. When a tragic death devastates the conference, only Dale suspects murder. Computer geeks care about code. But do they care enough… to kill?

    But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.Topics include:Statistical inference, exploratory data analysis, and the data science processAlgorithmsSpam filters, Naive Bayes, and data wranglingLogistic regressionFinancial modelingRecommendation engines and causalityData visualizationSocial networks and data journalismData engineering, MapReduce, Pregel, and HadoopDoing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.

    No statistical knowledge is required, and your programming skills can range from hobbyist to pro.Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to: Create artful graphs to visualize complex data sets and functions Write more efficient code using parallel R and vectorization Interface R with C/C++ and Python for increased speed or functionality Find new R packages for text analysis, image manipulation, and more Squash annoying bugs with advanced debugging techniques Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.

    Praise for Alan David 'A classic of the genre.' – Tom Kasey, bestselling author of Trade Off.Alan David is a prolific writer of over 500 novels in a wide range of genres, from classic westerns, to historical thrillers. His other western novels include Fight or Die, Gun Hell, Gun Wages, Wildmen and Draw or Die. Pioneering Press is an imprint of Endeavour Press, the UK’s leading independent digital publisher. We publish new and classic westerns by authors from the US and the UK. Sign up to our newsletterFollow us on Twitter: @PioneeringPress

    Over the years many other regions were explored. The story is told by their not terribly good leader.

    But behind it were real men whose hard work and hard play, stoic toughness, and code of honor helped tame the American West. The epic cattle drives that were so much a part of the cowboys' heyday lasted only an astonishingly brief two decades. But the cowboy is still a basic part of the American character. Here, from historian Grayson Wyatt, is their surprising and little-told story.