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Factfulness: Ten Reasons We're Wrong About the World--and Why Thi...
by , Ola Rosling

Language

English

Pages

341

Publication Date

April 03, 2018

Product Description
Customer Reviews
<p>INSTANT <i>NEW YORK TIMES</i> BESTSELLER</p><p><b>“One of the most important books I’ve ever read—an indispensable guide to thinking clearly about the world.” – Bill Gates</b><br /><b></b><br /><b>“Hans Rosling tells the story of ‘the secret silent miracle of human progress’ as only he can. But <i>Factfulness</i> does much more than that. It also explains why progress is so often secret and silent and teaches readers how to see it clearly.” <i>—</i>Melinda Gates</b><br /><b></b><br /><b></b><b>"<i>Factfulness</i> by Hans Rosling, an outstanding international public health expert, is a hopeful book about the potential for human progress when we work off facts rather than our inherent biases." - Former U.S. President Barack Obama</b><b><i></i></b><br /><b><i></i></b><br /><b><i>Factfulnes</i>s: The stress-reducing habit of only carrying opinions for which you have strong supporting facts. </b></p><p>When asked simple questions about global trends—<i>what percentage of the world’s population live in poverty; why the world’s population is increasing; how many girls finish school</i>—we systematically get the answers wrong. So wrong that a chimpanzee choosing answers at random will consistently outguess teachers, journalists, Nobel laureates, and investment bankers.</p><p>In <i>Factfulness</i>, Professor of International Health and global TED phenomenon Hans Rosling, together with his two long-time collaborators, Anna and Ola, offers <b>a radical new explanation of why this happens</b>. They reveal <b>the ten instincts that distort our perspective</b>—from our tendency to divide the world into two camps (usually some version of <i>us</i> and <i>them</i>) to the way we consume media (where fear rules) to how we perceive progress (believing that most things are getting worse). </p><p>Our problem is that we don’t know what we don’t know, and even our guesses are informed by unconscious and predictable biases.</p><p><b>It turns out that the world, for all its imperfections, is in a much better state than we might think.</b> That doesn’t mean there aren’t real concerns. But when we worry about everything all the time instead of embracing a worldview based on facts, we can lose our ability to focus on the things that threaten us most. </p><p>Inspiring and revelatory, filled with lively anecdotes and moving stories, <b><i>Factfulness </i>is an urgent and essential book that will change the way you see the world and empower you to respond to the crises and opportunities of the future. </b></p><p>---</p><p>“This book is my last battle in my life-long mission to fight devastating ignorance…Previously I armed myself with huge data sets, eye-opening software, an energetic learning style and a Swedish bayonet for sword-swallowing. It wasn’t enough. But I hope this book will be.” Hans Rosling, February 2017.</p>
The Signal and the Noise: Why So Many Predictions Fail-but Some D...
by Nate Silver

Language

English

Pages

556

Publication Date

September 27, 2012

Product Description
Customer Reviews
<b>One of</b> <b><i>Wall Street Journal</i>'s</b> <b>Best Ten Works of Nonfiction in 2012</b><br /> <b> </b><br /> <b><i>New York Times</i> Bestseller</b><br /><br /> “Not so different in spirit from the way public intellectuals like John Kenneth Galbraith once shaped discussions of economic policy and public figures like Walter Cronkite helped sway opinion on the Vietnam War…could turn out to be <b>one of the more momentous books of the decade</b>.”<br /> —<i>New York Times Book Review</i><br /> <i> </i><br /> "Nate Silver's <i>The Signal and the Noise</i> is<b> The Soul of a New Machine for the 21st century</b>." <br /> —Rachel Maddow, author of <i>Drift</i><br /><br /> "<b>A serious treatise about the craft of prediction—</b>without academic mathematics<b>—cheerily aimed at lay readers</b>. Silver's coverage is polymathic, ranging from poker and earthquakes to climate change and terrorism."<br /> <i>—New York Review of Books</i><br /><br /> Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger—all by the time he was thirty. 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 the website FiveThirtyEight. <br />  <br />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.<br /><br />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.<br /><br />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.<br /><br />With everything from the health of the global economy to our ability to fight terrorism dependent on the quality of our predictions, Nate Silver’s insights are an essential read.
The Systems Thinker: Essential Thinking Skills For Solving Proble...
by Albert Rutherford

Language

English

Pages

338

Publication Date

September 22, 2018

Product Description
Customer Reviews
<h2>Find the optimal solutions to your problems. Gain a deep understanding of the “what, why, how, when, how much” questions of your life. </h2><br />Become a <i>Systems Thinker</i> and discover how to approach your life from a completely new perspective.<br /><br />What is systems thinking? Put it simply, thinking about how things interact with one another. <br /><br />Why should this matter to you? Because you are a system. You are a part of smaller and larger systems – your community, your country, your species. Understanding your role within these systems and <b>how these systems affect, hinder, or aid the fulfillment of your life can lead you to better answers about yourself and the world.</b><br /><br />Information is the most precious asset these days. Evaluating that information correctly is almost priceless. Systems thinkers are some of the bests in collecting and assessing information, as well as creating impactful solutions in any context.<br /><br /><i>The Systems Thinker</i> will help you to <u>implement systems thinking at your workplace, human relations, and everyday thinking habits. </u><br /><br />Boost your observation and analytical skills to find the real triggers and influencing forces behind contemporary politics, economics, health, and education changes. <br /><br />Systems thinking <b>clears your vision</b> by teaching you not only to find the differences between the elements but also the similarities. This bi-directional analyzing ability will give you a more complex worldview, deeper understanding of problems, and thus better solutions.<br /><br />The car stopped because its tank is empty – so it needs gas. Easy problem, easy solution, right? But could you explain just as easily why did the price of gas raise with 5% the past month? After becoming a systems thinker, you’ll be able to answer that question just as easily.<br /><br /><h2>Change your thoughts, change your results.</h2> <br />•What are the main elements, questions and methods of thinking in systems?<br />•<b>The most widely used systems archetypes, maps, models, and analytical methods.</b><br />•Learn to identify and provide solutions even the most complex system problems.<br />•<b>Deepen your understanding about human motivation with systems thinking.</b><br /><br />The past fifty years brought so many changes in our lives. The world has become more interconnected than ever. Old rules can’t explain the new world anymore. But systems thinking can. Embrace systems thinking and <b>become a master of analytical, critical, and creative thinking. </b><br />
A Mind For Numbers: How to Excel at Math and Science (Even If You...
by Barbara Oakley

Language

English

Pages

332

Publication Date

July 31, 2014

Product Description
Customer Reviews
<b>The companion book to COURSERA®'s wildly popular massive open online course "Learning How to Learn"</b><br /><br />Whether you are a student struggling to fulfill a math or science requirement, or you are embarking on a career change that requires a new skill set, <i>A Mind for Numbers</i> offers the tools you need to get a better grasp of that intimidating material. Engineering professor Barbara Oakley knows firsthand how it feels to struggle with math. She flunked her way through high school math and science courses, before enlisting in the army immediately after graduation. When she saw how her lack of mathematical and technical savvy severely limited her options—both to rise in the military and to explore other careers—she returned to school with a newfound determination to re-tool her brain to master the very subjects that had given her so much trouble throughout her entire life.<br />  <br /> In <i>A Mind for Numbers</i>, Dr. Oakley lets us in on the secrets to learning effectively—secrets that even dedicated and successful students wish they’d known earlier. Contrary to popular belief, math requires creative, as well as analytical, thinking. Most people think that there’s only one way to do a problem, when in actuality, there are often a number of different solutions—you just need the creativity to see them. For example, there are more than three hundred different known proofs of the Pythagorean Theorem. In short, studying a problem in a laser-focused way until you reach a solution is not an effective way to learn. Rather, it involves taking the time to step away from a problem and allow the more relaxed and creative part of the brain to take over. The learning strategies in this book apply not only to math and science, but to any subject in which we struggle. We all have what it takes to excel in areas that don't seem to come naturally to us at first, and learning them does not have to be as painful as we might think!<br /><br /><br /><i>From the Trade Paperback edition.</i>
Hidden Figures
by Margot Lee Shetterly

Language

English

Pages

384

Publication Date

May 08, 2018

Product Description
Customer Reviews
<p><strong>Based on the <em>New York Times</em> bestselling book and the Academy Award–nominated movie, author Margot Lee Shetterly and illustrator Laura Freeman bring the incredibly inspiring true story of four black women who helped NASA launch men into space to picture book readers!</strong></p><p>Dorothy Vaughan, Mary Jackson, Katherine Johnson, and Christine Darden were good at math…<em>really</em> good. </p><p>They participated in some of NASA's greatest successes, like providing the calculations for America's first journeys into space. And they did so during a time when being black and a woman limited what they could do. But they worked hard. They persisted. And they used their genius minds to change the world. </p><p>In this beautifully illustrated picture book edition, we explore the story of four female African American mathematicians at NASA, known as "colored computers," and how they overcame gender and racial barriers to succeed in a highly challenging STEM-based career.</p><p><strong>"Finally, the extraordinary lives of four African American women who helped NASA put the first men in space is available for picture book readers," proclaims Brightly in their article "18 Must-Read Picture Books of 2018." "Will inspire girls and boys alike to love math, believe in themselves, and reach for the stars."</strong></p>
Storytelling with Data: A Data Visualization Guide for Business P...
by Cole Nussbaumer Knaflic

Language

English

Pages

252

Publication Date

October 07, 2015

Product Description
Customer Reviews
<b>Don't simply show your data—tell a story with it!</b> <p><i>Storytelling with Data</i> teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation.</p> <p>Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to:</p> <ul> <li>Understand the importance of context and audience</li> <li>Determine the appropriate type of graph for your situation</li> <li>Recognize and eliminate the clutter clouding your information</li> <li>Direct your audience's attention to the most important parts of your data</li> <li>Think like a designer and utilize concepts of design in data visualization</li> <li>Leverage the power of storytelling to help your message resonate with your audience</li> </ul> <p>Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—<i>Storytelling with Data</i> will give you the skills and power to tell it!</p>
The Book of Why: The New Science of Cause and Effect
by , Dana Mackenzie

Language

English

Pages

423

Publication Date

May 15, 2018

Product Description
Customer Reviews
<div><b>A Turing Award-winning computer scientist and statistician shows how understanding causality has revolutionized science and will revolutionize artificial intelligence</b></div><div><b><br /></b></div><div>"Correlation is not causation." This mantra, chanted by scientists for more than a century, has led to a virtual prohibition on causal talk. Today, that taboo is dead. The causal revolution, instigated by Judea Pearl and his colleagues, has cut through a century of confusion and established causality--the study of cause and effect--on a firm scientific basis. His work explains how we can know easy things, like whether it was rain or a sprinkler that made a sidewalk wet; and how to answer hard questions, like whether a drug cured an illness. Pearl's work enables us to know not just whether one thing causes another: it lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs <i>The Book of Why</i>.<br /><br /></div><div><br /></div>
Data Science from Scratch with Python: Step-by-Step Beginner Guid...
by Peter Morgan

Language

English

Pages

169

Publication Date

August 20, 2018

Product Description
Customer Reviews
<h4> ***** BUY NOW (will soon return to 15.77 $) *****</h4><br /><h1>Are you thinking of learning data science from scratch using Python? (For Beginners)</h1><br />If you are looking for a complete step-by-step guide to data science using Python from scratch, this book is for you. <br />After his great success with his first book “Data Analysis from Scratch with Python”, Peter Morgan publishes his second book focusing now in data science and machine learning. It is considered by practitioners as the easiest guide ever written in this domain.<br /><p></p><br /><h2> From AI Sciences Publisher </h2><br />Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. Readers are advised to adopt a hands on approach, which would lead to better mental representations.<br /><p></p><br /><h2>Step by Step Guide and Visual Illustrations and Examples</h2><br />The Book give complete instructions for manipulating, processing, cleaning, modeling and crunching datasets in Python. This is a hands-on guide with practical case studies of data analysis problems effectively. You will learn, pandas, NumPy, IPython, and Jupiter in the Process.<br /><p></p><br /><h2> Target Users</h2><br /><ul><li>Beginners who want to approach data science, but are too afraid of complex math to start</li><li>Newbies in computer science techniques and data science</li><li>Professors, lecturers or tutors who are looking to find better ways to explain the content to their students in the simplest and easiest way</li><li>Students and academicians, especially those focusing on data science</li></ul><br /><p></p><br /><h2>What’s Inside This Book?</h2><br /><p><strong>Part 1: Data Science Fundamentals, Concepts and Algorithms</strong></p><br /><ul><li>Introduction</li><li>Statistics</li><li>Probability</li><li>Bayes’ Theorem and Naïve Bayes Algorithm</li><li>Asking the Right Question</li><li>Data Acquisition</li><li>Data Preparation</li><li>Data Exploration</li><li>Data Modelling</li><li>Data Presentation</li><li>Supervised Learning Algorithms</li><li>Unsupervised Learning Algorithms</li><li>Semi-supervised Learning Algorithms</li><li>Reinforcement Learning Algorithms</li><li>Overfitting and Underfitting</li><li>The Bias-Variance Trade-off</li><li>Feature Extraction and Selection</li></ul><br /><p><strong>Part 2: Data Science in Practice</strong></p><br /><ul><li>Overview of Python Programming Language</li><li>Python Data Science Tools</li><li>Jupyter Notebook</li><li>Numerical Python (Numpy)</li><li>Pandas</li><li>Scientific Python (Scipy)</li><li>Matplotlib</li><li>Scikit-Learn</li><li>K-Nearest Neighbors</li><li>Naive Bayes</li><li>Simple and Multiple Linear Regression</li><li>Logistic Regression</li><li>GLM models</li><li>Decision Trees and Random forest</li><li>Perceptrons</li><li>Backpropagation</li><li>Clustering</li><li>Natural Language Processing</li></ul><hr ><br /><h2>Frequently Asked Questions</h2><br /><p></p><br />Q: Does this book include everything I need to become a data science expert?<br />A: Unfortunately, no. This book is designed for readers taking their first steps in data science and machine learning using Python and further learning will be required beyond this book to master all aspects.<br /><p></p><br />Q: Can I have a refund if this book doesn’t fit for me?<br />A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform.<br /><h4>***** MONEY BACK GUARANTEE BY AMAZON ***** </h4><br /><hr ><br /><h2>Editorial Reviews</h2><br /><p><em>"This is a fantastic book on Python-based data science, data analysis, machine learning, Reinforcement learning and deep learning. As a data scientist with more than 10 years, Peter has had long experience in data science and give in this book the key elements.."</em><br />- <strong>Lei Xia,</strong> <strong>Data Scientist Expert at Facebook
Fooled by Randomness: The Hidden Role of Chance in Life and in th...
by Nassim Nicholas Taleb

Language

English

Pages

368

Publication Date

October 06, 2008

Product Description
Customer Reviews
<b><i>Fooled by Randomness </i>is a standalone book in Nassim Nicholas Taleb’s landmark Incerto series, an investigation of opacity, luck, uncertainty, probability, human error, risk, and decision-making in a world we don’t understand. The other books in the series are <i>The Black Swan, Antifragile, Skin in the Game, </i>and <i>The Bed of Procrustes</i>.</b><br /><br /><i>Fooled by Randomness</i> is the word-of-mouth sensation that will change the way you think about business and the world. Nassim Nicholas Taleb–veteran trader, renowned risk expert, polymathic scholar, erudite raconteur, and <i>New York Times</i> bestselling author of <i>The Black Swan</i>–has written a modern classic that turns on its head what we believe about luck and skill.<br /><br /> This book is about luck–or more precisely, about how we perceive and deal with luck in life and business. Set against the backdrop of the most conspicuous forum in which luck is mistaken for skill–the world of trading–<i>Fooled by Randomness</i> provides captivating insight into one of the least understood factors in all our lives. Writing in an entertaining narrative style, the author tackles major intellectual issues related to the underestimation of the influence of happenstance on our lives.<br /><br /> The book is populated with an array of characters, some of whom have grasped, in their own way, the significance of chance: the baseball legend Yogi Berra; the philosopher of knowledge Karl Popper; the ancient world’s wisest man, Solon; the modern financier George Soros; and the Greek voyager Odysseus. We also meet the fictional Nero, who seems to understand the role of randomness in his professional life but falls victim to his own superstitious foolishness.<br /><br /> However, the most recognizable character of all remains unnamed–the lucky fool who happens to be in the right place at the right time–he embodies the “survival of the least fit.” Such individuals attract devoted followers who believe in their guru’s insights and methods. But no one can replicate what is obtained by chance.<br /><br /> Are we capable of distinguishing the fortunate charlatan from the genuine visionary? Must we always try to uncover nonexistent messages in random events? It may be impossible to guard ourselves against the vagaries of the goddess Fortuna, but after reading <i>Fooled by Randomness</i> we can be a little better prepared.<br /><br /> <b>Named by Fortune One of the Smartest Books of All Time<br /><br /> A Financial Times Best Business Book of the Year</b>
Freakonomics Rev Ed: A Rogue Economist Explores the Hidden Side o...
by , Stephen J. Dubner

Language

English

Pages

340

Publication Date

February 17, 2010

Product Description
Customer Reviews
Which is more dangerous, a gun or a swimming pool? What do schoolteachers and sumo wrestlers have in common? Why do drug dealers still live with their moms? How much do parents really matter? How did the legalization of abortion affect the rate of violent crime?These may not sound like typical questions for an econo-mist to ask. But Steven D. Levitt is not a typical economist. He is a much-heralded scholar who studies the riddles of everyday life—from cheating and crime to sports and child-rearing—and whose conclusions turn conventional wisdom on its head. Freakonomics is a groundbreaking collaboration between Levitt and Stephen J. Dubner, an award-winning author and journalist. They usually begin with a mountain of data and a simple question. Some of these questions concern life-and-death issues; others have an admittedly freakish quality. Thus the new field of study contained in this book: freakonomics.Through forceful storytelling and wry insight, Levitt and Dubner show that economics is, at root, the study of incentives—how people get what they want, or need, especially when other people want or need the same thing. In Freakonomics, they explore the hidden side of . . . well, everything. The inner workings of a crack gang. The truth about real-estate agents. The myths of campaign finance. The telltale marks of a cheating schoolteacher. The secrets of the Klu Klux Klan. What unites all these stories is a belief that the modern world, despite a great deal of complexity and downright deceit, is not impenetrable, is not unknowable, and—if the right questions are asked—is even more intriguing than we think. All it takes is a new way of looking. Freakonomics establishes this unconventional premise: If morality represents how we would like the world to work, then economics represents how it actually does work. It is true that readers of this book will be armed with enough riddles and stories to last a thousand cocktail parties. But Freakonomics can provide more than that. It will literally redefine the way we view the modern world.Bonus material added to the revised and expanded 2006 edition.The original New York Times Magazine article about Steven D. Levitt by Stephen J. Dubner, which led to the creation of this book.Seven “Freakonomics” columns written for the New York Times Magazine, published between August 2005 and April 2006.

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