Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    For centuries, such fears have been misplaced, and many economists maintain that they remain so today. But as Daniel Susskind demonstrates, this time really is different. Breakthroughs in artificial intelligence mean that all kinds of jobs are increasingly at risk.Drawing on almost a decade of research in the field, Susskind argues that machines no longer need to think like us in order to outperform us, as was once widely believed. As a result, more and more tasks that used to be far beyond the capability of computers – from diagnosing illnesses to drafting legal contracts, from writing news reports to composing music – are coming within their reach. The threat of technological unemployment is now real.This is not necessarily a bad thing, Susskind emphasizes. Technological progress could bring about unprecedented prosperity, solving one of humanity’s oldest problems: how to make sure that everyone has enough to live on. The challenges will be to distribute this prosperity fairly, to constrain the burgeoning power of Big Tech, and to provide meaning in a world where work is no longer the center of our lives. Perceptive, pragmatic, and ultimately hopeful, A World Without Work shows the way.

    Unlike traditional empirical psychology, it is more oriented toward the how than the what. An experiment in mind design is more likely to be an attempt to build something and make it work--as in artificial intelligence--than to observe or analyze what already exists. Mind design is psychology by reverse engineering.When Mind Design was first published in 1981, it became a classic in the then-nascent fields of cognitive science and AI. This second edition retains four landmark essays from the first, adding to them one earlier milestone (Turing's Computing Machinery and Intelligence) and eleven more recent articles about connectionism, dynamical systems, and symbolic versus nonsymbolic models. The contributors are divided about evenly between philosophers and scientists. Yet all are philosophical in that they address fundamental issues and concepts; and all are scientific in that they are technically sophisticated and concerned with concrete empirical research.ContributorsRodney A. Brooks, Paul M. Churchland, Andy Clark, Daniel C. Dennett, Hubert L. Dreyfus, Jerry A. Fodor, Joseph Garon, John Haugeland, Marvin Minsky, Allen Newell, Zenon W. Pylyshyn, William Ramsey, Jay F. Rosenberg, David E. Rumelhart, John R. Searle, Herbert A. Simon, Paul Smolensky, Stephen Stich, A.M. Turing, Timothy van Gelder

    Victory, after all, could come down to choosing between the supposed sleeper and the overrated prospects who won't be able to fool people in the Show like they have down on the farm.    Nearly every major-league team has sought the advice of current or former Prospectus writers, and readers of Baseball Prospectus 2014 will understand what all those fans have been raving about. "If you're a baseball fan and you don't know what BP is, you're working in a mine without one of those helmets with the lights on it."—Keith Olbermann "The first time I saw the PECOTA projections, I realized that someone out there understood." —Jeff Luhnow, General Manager, Houston Astros "For me, every year baseball begins with the big, brilliant, beautiful book you are holding in your hands right now."—Joe PosnanskiBaseball Prospectus 2013 correctly predicted:*Disappointing performances by Albert Pujols, Dan Haren, Michael Bourn, Justin Upton, and Tommy Hanson.*Breakouts by Paul Goldschmidt, Freddie Freeman, Kyle Seager, Matt Moore, Shelby Miller, and Jason Kipnis, as well as bounceback seasons from Jayson Werth and Shin-Soo Choo.*That Max Scherzer would be a Cy Young contender and Michael Wacha ace-in-waiting for the Cardinals.*That Wil Myers would be a middle-of-the-order bat for Tampa Bay and Josh Donaldson would finally win the Rich Harden trade for the A's.*That CC Sabathia's velocity drop could be a problem, but Felix Hernandez's would not be. *That Joaquin Benoit, Kenley Jansen, and Koji Uehara were better bullpen bets than pre-season closer picks Bruce Rondon, Brandon League, and Joel Hanrahan.

    Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. Richly illustrated, Complexity: A Guided Tour--winner of the 2010 Phi Beta Kappa Book Award in Science--offers a wide-ranging overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for its contribution to solving some of the most important scientific questions of our time.

    The book that finally cracks the case. Ben Smart. Olivia Hope. Scott Watson. Unmissable. Undeniable. Unprecedented. Unexpected. Note from author: "This book contains quotes from original police witness statements. No two witnesses ever see the crime from exactly the same angle, so differences between statements are expected. Sometimes one statement can have a crucial detail that others have missed. That's why I included what appear to be 'repetitive' statements by a number of witnesses. So you can see the overall similarities and weight of evidence, but also any unique details. Sometimes witness statements are relevant to different parts of the story, so just as in a murder trial, readers may find a statement being referred to more than once.In a crime story, the devil can be in the detail. The statements are quoted in the authentic spelling of the witness - as important legal records they don't get 'proofed'. The court trial lasted 12 weeks and involved 30,000 pages of documents. I have distilled that down to 372 pages but it is still a complex story. Think of yourself as a juror, sifting the evidence."Previous books on this case have concentrated on picking apart the police version of events given in Court. That's a legalistic technique of creating 'doubt'. I ask a different question: Forget about the court case, do the original witness statements including ones never used in court show us what happened? The answer, I suggest, is "Yes", and you are about to find out for yourself..."

    The British expected R.101 to spearhead a fleet of imperial airships that would dominate the skies as British naval ships, a century earlier, had ruled the seas. The dream ended when, on its demonstration flight to India, R.101 crashed in France, tragically killing nearly all aboard.Combining meticulous research with superb storytelling, Fatal Flight guides us from the moment the great airship emerged from its giant shed—nearly the largest building in the British Empire—to soar on its first flight, to its last fateful voyage. The full story behind R.101 shows that, although it was a failure, it was nevertheless a supremely imaginative human creation. The technical achievement of creating R.101 reveals the beauty, majesty, and, of course, the sorrow of the human experience.The narrative follows First Officer Noel Atherstone and his crew from the ship’s first test flight in 1929 to its fiery crash on October 5, 1930. It reveals in graphic detail the heroic actions of Atherstone as he battled tremendous obstacles. He fought political pressures to hurry the ship into the air, fended off Britain’s most feted airship pilot, who used his influence to take command of the ship and nearly crashed it, and, a scant two months before departing for India, guided the rebuilding of the ship to correct its faulty design. After this tragic accident, Britain abandoned airships, but R.101 flew again, its scrap melted down and sold to the Zeppelin Company, who used it to create LZ 129, an airship even more mighty than R.101—and better known as the Hindenburg. Set against the backdrop of the British Empire at the height of its power in the early twentieth century,Fatal Flight portrays an extraordinary age in technology, fueled by humankind’s obsession with flight.

    Cameron Webb’s brief but biting assault on the wide spectrum of religiosity that dominates 21st century America, from the hateful and anti-intellectual dogma of the Christian Right to the whitewashed progressivism of religious moderates. It is also a fascinating and humbling journey into the heart of the universe's most mind-numbing wonders.Drawing on recent insights from cosmology and evolution, Despicable Meme paints a vivid portrait of a cosmos unlike anything ever imagined by the provincial, human-centered faiths of the past – a universe of countless worlds spread across unfathomable distances and times, and where, on at least one of those worlds, the slow march of time would combine with the purposeless mechanisms of chemistry and physics to create a being capable of believing that he alone is the reason for it all.With piercing intelligence and candor, Despicable Meme exposes the folly of that conceit and dispenses with the widespread but utterly improbable notion of a personal creator. But it saves its harshest criticism for the vapid accommodationism of religious liberals, those who unknowingly or uncaringly give cover to the misogynistic, racist, homophobic paranoia of the fanatics by refusing to condemn, or quietly tolerating, the outlandish and immoral doctrines that lie festering at the center of their own “moderate” faiths.Despicable Meme is not only a blistering condemnation of radical fundamentalism, it is an impassioned appeal to the rest of us to once and for all abandon the superstitions of the religion we were raised in and embrace the beauty of an endlessly wondrous, but godless, universe.Show less

    In fact, AI will dramatically change our entire society.You might have heard that many jobs will be replaced by automation and robots, but did you also know that at the same time a huge number of new jobs will be created by AI?This book covers many fascinating and timely topics related to artificial intelligence, including: self-driving cars, robots, chatbots, and how AI will impact the job market, business processes, and entire industries, just to name a few.This book is divided into ten chapters:Chapter I: Introduction to Artificial IntelligenceChapter II: How Artificial Intelligence Is Changing Many IndustriesChapter III: How Artificial Intelligence Is Changing Business ProcessesChapter IV: Chatbots and How They Will Change CommunicationChapter V: How Artificial Intelligence Is Changing the Job MarketChapter VI: Self-Driving Cars and How They Will Change Traffic as We Know ItChapter VII: Robots and How They Will Change Our LivesChapter VIII: Artificial Intelligence Activities of Big Technology CompaniesChapter IX: Frequently Asked Questions About Artificial Intelligence Part IChapter X: Frequently Asked Questions About Artificial Intelligence Part IITo enhance your learning experience and help make the concepts easier to understand, there are more than 85 visual presentations included throughout the book.You will learn the answers to 101 questions about artificial intelligence, and also have access to a large number of resources, ideas and tips that will help you to understand how artificial intelligence will change our lives.Who is this book for?Managers and business professionalsMarketers and influencersEntrepreneurs and startupsConsultants and coachesEducators and teachersStudents and life-long learnersAnd everyone else who is interested in our future.Are you ready to discover how artificial intelligence will impact your life This guidebook offers a multitude of tools, techniques and strategies that every business and individual can quickly apply and benefit from.

    Including accessible primers on: • The early Ancient Greek philosophers and the ‘big three’: Socrates, Plato and Aristotle • Key schools of philosophy and their impact on modern life • Insights into the main questions philosophers have explored over the years: Who am I? What is the meaning of life? Do I have free will? • Practical applications for the theories of Descartes, Kant, Wollstonecraft, Marx, Nietzsche and many more. This illuminating little book will introduce you to the key thinkers, themes and theories you need to know to understand how human ideas have sculpted the world we live in and the way we think today.

    Our society now embraces sharing like never before: time alone is being forced out of our lives by the constant pings of smartphones and prods of social media. But what if solitude still has something to offer us - something we have forgotten, but that we still desperately need? In Solitude, award-winning author Michael Harris examines why being alone matters now more than ever before. He reflects on the paradoxical feeling of isolation that emerges from being constantly connected - and on how learning the beauty of solitude can help us escape it. After all, it is when we are alone that we realise the greatest truths about ourselves. Being alone - really alone - could be the only antidote to the frenzy of our digital age. Rich with stories about the transformative power of solitude, and drawing on the research of the world's leading neuroscientists and behavioural psychologists, Solitude offers a timely and profound exploration of how to be alone - and why it matters for us all.

    Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet. Why a spreadsheet? It's comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don't let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.Each chapter will cover a different technique in a spreadsheet so you can follow along: - Mathematical optimization, including non-linear programming and genetic algorithms- Clustering via k-means, spherical k-means, and graph modularity- Data mining in graphs, such as outlier detection- Supervised AI through logistic regression, ensemble models, and bag-of-words models- Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation- Moving from spreadsheets into the R programming languageYou get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You'll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.

    

    Includes essays and excerpts from the works of prominent modern thinkers such as Umberto Eco, Jacques Derrida, and Isaiah Berlin among others.

    We nevertheless muddle through even in the absence of theories of how to act. But how do we do it?In Probably Approximately Correct, computer scientist Leslie Valiant presents a masterful synthesis of learning and evolution to show how both individually and collectively we not only survive, but prosper in a world as complex as our own. The key is “probably approximately correct” algorithms, a concept Valiant developed to explain how effective behavior can be learned. The model shows that pragmatically coping with a problem can provide a satisfactory solution in the absence of any theory of the problem. After all, finding a mate does not require a theory of mating. Valiant’s theory reveals the shared computational nature of evolution and learning, and sheds light on perennial questions such as nature versus nurture and the limits of artificial intelligence.Offering a powerful and elegant model that encompasses life’s complexity, Probably Approximately Correct has profound implications for how we think about behavior, cognition, biological evolution, and the possibilities and limits of human and machine intelligence.