Offering an approach with a visual/graphical emphasis, this text offers a number of examples on the premise that students learn best by doing. This book features an emphasis on interpretation of results and critical thinking over calculations.

    It is not a text book nor a full lenght biography, but more of a cheat sheet for reading on the bus or in the bathroom, so that you can pick out the most significant points without having to carry around a bag of weighty tomes. You can read it all in one sitting, or look up specific case studies as and when you are looking for inspiration or direction. The 50 lessons outlined here are drawn from interviews Trump has given, from the numerous blogs and books written about him, and, most importantly, from the successes and failures on his road to becoming one of the most significant business people of out time and maybe even a president one day, who knows. Additionally You Get 2 Bonus Ebooks - 69 Ways to Make Money From Home - Bitcoins Beginner’s Guide

    In the second installment of Queen of Bankhead series the drama picks up right where it left off. After suffering from a life threatening hit, Cheyenne is bound to make her shooter pay for what she did and will kill anybody that gets in her way. Eli has been ripping the streets of Atlanta to shreds, he was dead set on finding Chy's shooter; the only thing standing in his way is Atlanta PD. Passion is tired of trying to rekindle her love for Amp with his unfaithful ways, and when somebody pops up pregnant, she is finally done. With all that's going on, she finds a new boo, but he has a few secrets of his own. When her son's life is put on the line, she falls victim of his deadly hands. Take a ride with Chy as she fights off jealousy disloyal and betrayal just to become the Queen, where weakness isn't allowed, but all challenges are accepted.

    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

    Essentially, you make an initial guess, and then get more data to improve it. Bayes Theorem, or Bayes Rule, has a ton of real world applications, from estimating your risk of a heart attack to making recommendations on Netflix But It Isn't That Complicated This book is a short introduction to Bayes Theorem. It is only 15 pages long, and is intended to show you how Bayes Theorem works as quickly as possible. The examples are intentionally kept simple to focus solely on Bayes Theorem without requiring that the reader know complicated probability distributions. If you want to learn the basics of Bayes Theorem as quickly as possible, with some easy to duplicate examples, this is a good book for you.

    Hadoop allowed small and medium sized companies to store huge amounts of data on cheap commodity servers in racks. The introduction of Big Data has allowed businesses to make decisions based on quantifiable analysis. Hadoop is now implemented in major organizations such as Amazon, IBM, Cloudera, and Dell to name a few. This book introduces you to Hadoop and to concepts such as ‘MapReduce’, ‘Rack Awareness’, ‘Yarn’ and ‘HDFS Federation’, which will help you get acquainted with the technology.

    Topics include discussions about Business Combination, Consolidated Financial Statements - On the date of acquisition, Subsequent to date of acquisition, Financially Distressed Corporations, Accounting for Foreign Exchange.

    In Dataclysm, Christian Rudder uses it to show us who we truly are.   For centuries, we’ve relied on polling or small-scale lab experiments to study human behavior. Today, a new approach is possible. As we live more of our lives online, researchers can finally observe us directly, in vast numbers, and without filters. Data scientists have become the new demographers.   In this daring and original book, Rudder explains how Facebook "likes" can predict, with surprising accuracy, a person’s sexual orientation and even intelligence; how attractive women receive exponentially more interview requests; and why you must have haters to be hot. He charts the rise and fall of America’s most reviled word through Google Search and examines the new dynamics of collaborative rage on Twitter. He shows how people express themselves, both privately and publicly. What is the least Asian thing you can say? Do people bathe more in Vermont or New Jersey? What do black women think about Simon & Garfunkel? (Hint: they don’t think about Simon & Garfunkel.) Rudder also traces human migration over time, showing how groups of people move from certain small towns to the same big cities across the globe. And he grapples with the challenge of maintaining privacy in a world where these explorations are possible.   Visually arresting and full of wit and insight, Dataclysm is a new way of seeing ourselves—a brilliant alchemy, in which math is made human and numbers become the narrative of our time.

    As author Jeffrey Needham points out in this eye-opening book, big data can provide unprecedented insight into user habits, giving enterprises a huge market advantage. It will also inspire organizations to change the way they function."Disruptive Possibilities: How Big Data Changes Everything" takes you on a journey of discovery into the emerging world of big data, from its relatively simple technology to the ways it differs from cloud computing. But the big story of big data is the disruption of enterprise status quo, especially vendor-driven technology silos and budget-driven departmental silos. In the highly collaborative environment needed to make big data work, silos simply don't fit.Internet-scale computing offers incredible opportunity and a tremendous challenge--and it will soon become standard operating procedure in the enterprise. This book shows you what to expect.

    Jon Wertheim to overturn some of the most cherished truisms of sports, and reveal the hidden forces that shape how basketball, baseball, football, and hockey games are played, won and lost.Drawing from Moskowitz's original research, as well as studies from fellow economists such as bestselling author Richard Thaler, the authors look at: the influence home-field advantage has on the outcomes of games in all sports and why it exists; the surprising truth about the universally accepted axiom that defense wins championships;  the subtle biases that umpires exhibit in calling balls and strikes in key situations; the unintended consequences of referees' tendencies in every sport to "swallow the whistle," and more.Among the insights that Scorecasting reveals:Why Tiger Woods is prone to the same mistake in high-pressure putting situations that you and I areWhy professional teams routinely overvalue draft picks The myth of momentum  or the "hot hand" in sports, and why so many fans, coaches, and broadcasters fervently subscribe to itWhy NFL coaches rarely go for a first down on fourth-down situations--even when their reluctance to do so reduces their chances of winning.In an engaging narrative that takes us from the putting greens of Augusta to the grid iron of a small parochial high school in Arkansas, Scorecasting will forever change how you view the game, whatever your favorite sport might be.

    The war is over, the economy is booming, and the future looks bright. But just across the deep ravine known as Dog’s Run is a different life, one where times are always hard and dreams seldom come true. When Wanda Jean Reider, a beautiful young woman from the wrong side of town, is found dead in Dog’s Run secrets begin to come out. Secrets that will expose hidden sins and a dark side of life carried on behind the manicured lawns and inside the back rooms of the stores along Main Street. Secrets that will erupt in violence and lead to a showdown that will change the lives of some of Elmhurst’s best known citizens forever. Nick Russell, New York Times Kindle bestselling author of the Big Lake mystery series, weaves a tale of intrigue, lust, and broken dreams that you will remember long after you finish the last page. One early reviewer said of Dog’s Run, “It’s gut-wrenching, fast-paced, sometimes crude, brutally honest, and often sad. It is also Nick Russell’s finest writing to date. Well done!"

    The aim here is not to motivate you to get started, but to educate the various possibilities of getting things done. Hence the ideal reader is someone who has a product / service in their mind, completed their business calculations, is willing to manage the risks and just about to get started. Right from naming your company, registering it, banking, taxation through selling your products / services, this book will guide you on how to get it done in a quicker and affordable manner. Entrepreneurship is a journey. It needs proper fundamentals and systems in place to run the distance. The founder must plan well ahead while starting up or be willing to adapt to changes as the company grows. I sincerely hope this book will give that initial clarity, help you explore the possibilities and get started quickly.

    The betrayal cut so deeply that Versace had vowed never to love again. It was just about her and her babies for now on. However, her brother's friend may change all that. Hurricane Katrina has taught Dior LaCroix that nothing in that life is promised to anyone. So, when Ferrari's little sister, Versace comes into his life, Dior wants to shoot his shot. But there's only one problem... she's mean as hell. Versace got Dior breaking down every emotional wall that her baby daddy has put up. Will Dior and Versace's hood love be able to survive Versace's distrust, or will it phase out as quickly as Versace's temper? Jump into this standalone of when a hood nigga meets a project chick, New Orleans style. Ain't nothing like hood love.

    In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God.Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.

    He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science.Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.