This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    But it’s never too late to write your next story, and to go on your next adventure. In partnership with Cayman Jack, Thought Catalog presents a collection of 25 travel stories to inspire you to leave behind the predictable and take to the open road in search of the unforgettable. Your next great memory is waiting for you, whether you realize it or not. And these exceptional stories will help you find it.

    Churchill, 1948: World War II was the defining event of our age—the climactic clash between liberty and tyranny. It led to revolutions, the demise of empires, a protracted Cold War, and religious strife still not ended. Yet Churchill maintained that it was all avoidable. Here is a transformative view of Churchill’s theories, prescriptions, actions, and the degree to which he pursued them in the decade before the war. It shows that he was both right and wrong: right that Hitler could have been stopped; wrong that he did all he could to stop him. It is based on what really happened—evidence that has been “hiding in public” for many years, thoroughly referenced in Churchill’s words and those of his contemporaries. Richard M. Langworth began his Churchill work in 1968 when he organized the Churchill Study Unit, which later became the Churchill Centre. He served as its president and board chairman and was editor of its journal Finest Hour from 1982 to 2014. In November 2014, he was appointed senior fellow for Hillsdale College’s Churchill Project. Mr. Langworth published the first American edition of Churchill’s India, is the author of A Connoisseur’s Guide to the Books of Sir Winston Churchill, and is the editor of Churchill by Himself, The Definitive Wit of Winston Churchill, The Patriot’s Churchill, All Will Be Well: Good Advice from Winston Churchill, and Churchill in His Own Words. His next book is Winston Churchill, Urban Myths and Reality. In 1998, Richard Langworth was appointed a Commander of the Most Excellent Order of the British Empire by HM The Queen “for services to Anglo-American understanding and the memory of Sir Winston Churchill.”

    Scholars and students need to be able to analyze, design and curate information into useful tools of communication, insight and understanding. This book is the starting point in learning the process and skills of data visualization, teaching the concepts and skills of how to present data and inspiring effective visual design. Benefits of this book: A flexible step-by-step journey that equips you to achieve great data visualization.A curated collection of classic and contemporary examples, giving illustrations of good and bad practice Examples on every page to give creative inspiration Illustrations of good and bad practice show you how to critically evaluate and improve your own work Advice and experience from the best designers in the field Loads of online practical help, checklists, case studies and exercises make this the most comprehensive text available

    A more plausible explanation would have been that she died from a drug overdose. A review of the medical examiner's report revealed that the Fisher family refused to give permission for an autopsy and toxicology tests to be done. Constrained by these limitations, the coroner labeled the manner of death "undetermined".FORENSICS: The Science behind the Deaths of Famous People is an analysis and description of how coroners determine the cause and manner of death. An investigation of twenty-three deaths of famous people was conducted based on a review of publicly available autopsy and toxicology reports, as well as published scientific and lay articles. Drug use was implicated in 70 percent of the deaths. Four celebrity deaths were the result of suicide or homicide. Four others were from natural causes.

    according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog "AI Weirdness." She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans--all to understand the technology that governs so much of our daily lives.We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really, and how does it solve problems, understand humans, and even drive self-driving cars?Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't--like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really "Vampire Hog Bride"?In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt--and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking.

    Instead of giving you the most broadly popular result, Google now tries to predict what you are most likely to click on. According to MoveOn.org board president Eli Pariser, Google's change in policy is symptomatic of the most significant shift to take place on the Web in recent years - the rise of personalization. In this groundbreaking investigation of the new hidden Web, Pariser uncovers how this growing trend threatens to control how we consume and share information as a society-and reveals what we can do about it.Though the phenomenon has gone largely undetected until now, personalized filters are sweeping the Web, creating individual universes of information for each of us. Facebook - the primary news source for an increasing number of Americans - prioritizes the links it believes will appeal to you so that if you are a liberal, you can expect to see only progressive links. Even an old-media bastion like "The Washington Post" devotes the top of its home page to a news feed with the links your Facebook friends are sharing. Behind the scenes a burgeoning industry of data companies is tracking your personal information to sell to advertisers, from your political leanings to the color you painted your living room to the hiking boots you just browsed on Zappos.In a personalized world, we will increasingly be typed and fed only news that is pleasant, familiar, and confirms our beliefs - and because these filters are invisible, we won't know what is being hidden from us. Our past interests will determine what we are exposed to in the future, leaving less room for the unexpected encounters that spark creativity, innovation, and the democratic exchange of ideas.While we all worry that the Internet is eroding privacy or shrinking our attention spans, Pariser uncovers a more pernicious and far-reaching trend on the Internet and shows how we can - and must - change course. With vivid detail and remarkable scope, The Filter Bubble reveals how personalization undermines the Internet's original purpose as an open platform for the spread of ideas and could leave us all in an isolated, echoing world.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    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

    She taught her family how to read Scott’s medical chart and to ask pointed questions, no longer leaving his care to the medical professionals who had overdosed him with drugs to the very brink of death in less than three days.“Jo, you have to tell people what they’ve done to me. You have to tell them!”pleaded her little brother, as he lay writhing in agony.In “For the Love of Scott!”, the author recollects her family’s poignant story of love, bewilderment, and lingering frustration when faced with catastrophic medical mistakes. Read the experiences of Scott Hamilton’s family members as they struggle through a storm of horrific medical errors that could have been prevented and recognize what you need to do when someone you love is faced with life-threatening circumstances created by health experts.It took Jo 27 years to put this heartbreaking event down on paper. Writing opened old wounds and required hours of research and documentation. It forced her family to relive a chapter in their own lives that they desperately wanted closed. Yet, they rallied together to help Jo with her mission to keep that promise.To help further her goals, Jo Hamilton will be donating a portion of the proceeds from the sale of her book, to the 1984 Olympic Gold Medal Winner, Scott Hamilton's foundation, The Scott Hamilton CARES Initiative. The Scott Hamilton CARES Initiative was created to help with cancer research, support cancer patients and their families, and find a cure cancer.

    If you or someone you know is discontented, distressed, or downright disturbed, maybe the Great White North is right for you, eh. But how much do you really know about Canada? Can you do a job that Canada needs (do you play hockey, drill for oil, or make poutine?)? Can you identify the best Canadian province for your lifestyle (lots of tundra or just some tundra?)? Can you master the proper pronunciation of "sorry"? What strange wizardry is the Canadian government? Is maple syrup acceptable substitution for currency? At long last, How to Move to Canada can help make your vague threat into a cold Canadian reality. This book is also full of activities such as: Color the flag of your new homeland Match the strange Canuck dialect with their local definitions And more! PLEASE NOTE: This is a humor book. It won't really help you emigrate. Rather, it's a subversive mix of real information on the Great White North plus a hilarious look at all the reasons why you won't like it there any better — and why they probably won't have you anyway.

    Digital technologies—with hardware, software, and networks at their core—will in the near future diagnose diseases more accurately than doctors can, apply enormous data sets to transform retailing, and accomplish many tasks once considered uniquely human.In The Second Machine Age MIT’s Erik Brynjolfsson and Andrew McAfee—two thinkers at the forefront of their field—reveal the forces driving the reinvention of our lives and our economy. As the full impact of digital technologies is felt, we will realize immense bounty in the form of dazzling personal technology, advanced infrastructure, and near-boundless access to the cultural items that enrich our lives.Amid this bounty will also be wrenching change. Professions of all kinds—from lawyers to truck drivers—will be forever upended. Companies will be forced to transform or die. Recent economic indicators reflect this shift: fewer people are working, and wages are falling even as productivity and profits soar.Drawing on years of research and up-to-the-minute trends, Brynjolfsson and McAfee identify the best strategies for survival and offer a new path to prosperity. These include revamping education so that it prepares people for the next economy instead of the last one, designing new collaborations that pair brute processing power with human ingenuity, and embracing policies that make sense in a radically transformed landscape.A fundamentally optimistic book, The Second Machine Age alters how we think about issues of technological, societal, and economic progress.

    The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for you. This fully-illustrated and engaging guide makes it easy for you to learn how to use algorithms effectively in your own programs.Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply common algorithms to the practical problems you face in day-to-day life as a programmer. You'll start with problems like sorting and searching. As you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression or artificial intelligence. Whether you're writing business software, video games, mobile apps, or system utilities, you'll learn algorithmic techniques for solving problems that you thought were out of your grasp. For example, you'll be able to:Write a spell checker using graph algorithmsUnderstand how data compression works using Huffman codingIdentify problems that take too long to solve with naive algorithms, and attack them with algorithms that give you an approximate answer insteadEach carefully-presented example includes helpful diagrams and fully-annotated code samples in Python. By the end of this book, you will know some of the most widely applicable algorithms as well as how and when to use them.

    You'll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you'll put your new knowledge into practice with three substantial projects: a Space Invaders-inspired arcade game, data visualizations with Python's super-handy libraries, and a simple web app you can deploy online.As you work through Python Crash Course, you'll learn how to: Use powerful Python libraries and tools, including matplotlib, NumPy, and PygalMake 2D games that respond to keypresses and mouse clicks, and that grow more difficult as the game progressesWork with data to generate interactive visualizationsCreate and customize simple web apps and deploy them safely onlineDeal with mistakes and errors so you can solve your own programming problemsIf you've been thinking seriously about digging into programming, Python Crash Course will get you up to speed and have you writing real programs fast. Why wait any longer? Start your engines and code!