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

    This authoritative book scrapes away these bad features to reveal a subset of JavaScript that's more reliable, readable, and maintainable than the language as a whole--a subset you can use to create truly extensible and efficient code.Considered the JavaScript expert by many people in the development community, author Douglas Crockford identifies the abundance of good ideas that make JavaScript an outstanding object-oriented programming language-ideas such as functions, loose typing, dynamic objects, and an expressive object literal notation. Unfortunately, these good ideas are mixed in with bad and downright awful ideas, like a programming model based on global variables.When Java applets failed, JavaScript became the language of the Web by default, making its popularity almost completely independent of its qualities as a programming language. In JavaScript: The Good Parts, Crockford finally digs through the steaming pile of good intentions and blunders to give you a detailed look at all the genuinely elegant parts of JavaScript, including:SyntaxObjectsFunctionsInheritanceArraysRegular expressionsMethodsStyleBeautiful featuresThe real beauty? As you move ahead with the subset of JavaScript that this book presents, you'll also sidestep the need to unlearn all the bad parts. Of course, if you want to find out more about the bad parts and how to use them badly, simply consult any other JavaScript book.With JavaScript: The Good Parts, you'll discover a beautiful, elegant, lightweight and highly expressive language that lets you create effective code, whether you're managing object libraries or just trying to get Ajax to run fast. If you develop sites or applications for the Web, this book is an absolute must.

    Enormously successful, the game inevitably raises the question: What is artificial life? And in this book--a chance for the devoted fan and the simply curious onlooker to see the world from the perspective of an original philosopher-engineer and intellectual maverick--Steve Grand proposes an answer.From the composition of the brains and bodies of artificial life forms to the philosophical guidelines and computational frameworks that define them, Creation plumbs the practical, social, and ethical aspects and implications of the state of the art. But more than that, the book gives readers access to the insights Grand acquired in writing Creatures--insights that yield a view of the world that is surprisingly antireductionist, antimaterialist, and (to a degree) antimechanistic, a view that sees matter, life, mind, and society as simply different levels of the same thing. Such a hierarchy, Grand suggests, can be mirrored by an equivalent one that exists inside a parallel universe called cyberspace.

    It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought.Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.”Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

    Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

    Blockchain protocols are taking the world by storm, and the Ethereum project, with its Turing-complete scripting language Solidity, has rapidly become a front-runner. This book presents the blockchain phenomenon in context; then situates Ethereum in a world pioneered by Bitcoin.See why professionals and non-professionals alike are honing their skills in smart contract patterns and distributed application development. You'll review the fundamentals of programming and networking, alongside its introduction to the new discipline of crypto-economics. You'll then deploy smart contracts of your own, and learn how they can serve as a back-end for JavaScript and HTML applications on the Web.Many Solidity tutorials out there today have the same flaw: they are written for "advanced" JavaScript developers who want to transfer their skills to a blockchain environment. Introducing Ethereum and Solidity is accessible to technology professionals and enthusiasts of all levels. You'll find exciting sample code that can move forward real world assets in both the academic and the corporate arenas. Find out now why this book is a powerful gateway for creative technologists of all types, from concept to deployment.What You'll LearnSee how Ethereum (and other cryptocurrencies) workCompare distributed apps (dapps) to web appsWrite Ethereum smart contracts in Solidity Connect Ethereum smart contracts to your HTML/CSS/JavaScript web applicationsDeploy your own dapp, coin, and blockchainWork with basic and intermediate smart contractsWho This Book Is For Anyone who is curious about Ethereum or has some familiarity with computer science Product managers, CTOs, and experienced JavaScript programmersExperts will find the advanced sample projects in this book rewarding because of the power of Solidity

    Levitt, co-author of Freakonomics - One of the best books of the year--NatureMary Aiken, the world's leading expert in forensic cyberpsychology, offers a starting point for all future conversations about how the Internet is shaping development and behavior, societal norms and values, children, safety, privacy, and our perception of the world. Drawing on her own research and extensive experience with law enforcement, Aiken covers a wide range of subjects, from the impact of screens on the developing child to the explosion of teen sexting and the acceleration of compulsive and addictive behaviors online. Aiken provides surprising statistics and incredible-but-true case studies of hidden trends that are shaping our culture and raising troubling questions about where the digital revolution is taking us.Praise for The Cyber Effect"How to guide kids in a hyperconnected world is one of the biggest challenges for today's parents. Mary Aiken clearly and calmly separates reality from myth. She clearly lays out the issues we really need to be concerned about and calmly instructs us on how to keep our kids safe and healthy in their digital lives."--Peggy Orenstein, author of the New York Times bestseller Girls & Sex"[A] fresh voice and a uniquely compelling perspective that draws from the murky, fascinating depths of her criminal case file and her insight as a cyber-psychologist . . . This is Aiken's cyber cri de coeur as a forensic scientist, and she wants everyone on the case."--The Washington Post"Fascinating . . . If you have children, stop what you are doing and pick up a copy of The Cyber Effect."--The Times (UK)"An incisive tour of sociotechnology and its discontents."--Nature"Just as Rachel Carson launched the modern environmental movement with her Silent Spring, Mary Aiken delivers a deeply disturbing, utterly penetrating, and urgently timed investigation into the perils of the largest unregulated social experiment of our time."--Bob Woodward"Mary Aiken takes us on a fascinating, thought-provoking, and at times scary journey down the rabbit hole to witness how the Internet is changing the human psyche. A must-read for anyone who wants to understand the temptations and tragedies of cyberspace."--John R. Suler, PhD, author of The Psychology of Cyberspace"Drawing on a fascinating and mind-boggling range of research and knowledge, Mary Aiken has written a great, important book that terrifies then consoles by pointing a way forward so that our experience online might not outstrip our common sense."--Steven D. Levitt"Having worked with law enforcement groups from INTERPOL and Europol as well as the U.S. government, Aiken knows firsthand how today's digital tools can be exploited by criminals lurking in the Internet's Dark Net."--Newsweek

    And I mean all the time. Every day there’s a new cloud-based dating app; a new cloud-based gizmo for your house; a new cloud-based game; or a thousand other new things—all in the cloud.The cloud is everywhere! Everything is in the cloud! What does it mean! Let’s slow down. Take a deep breath. That’s good. Take another. Excellent. This book teaches you all about the cloud. I’ll let you in on a little secret: the cloud is not that hard to understand. It’s not. It’s just that nobody has taken the time to explain to you what the cloud is. They haven’t, have they?Deep down I think this is because they don’t understand the cloud either, but I do. I’ve been a programmer and writer for over 30 years. I’ve been in cloud computing since the very start, and I’m here to help you on your journey to understand the cloud. Consider me your tour guide. I’ll be with you every step of the way, but not in a creepy way.I take my time with this book. I go slow and easy, so you can build up an intuition about what the cloud really is, one idea at a time. When you finish reading, you’ll understand the cloud. When you hear someone say some new cool thing is in the cloud, you’ll understand exactly what they mean. That’s a promise. How do I deliver on that promise? I use lots and lots of pictures. I use lots and lots of examples. We’ll reveal the secret inner-workings of AWS, Netflix, Facebook Messenger, Amazon Kindle, Apple iCloud, Google Maps, Nest and cloud DVRs. You’ll learn by seeing and understanding; no matter if you're a complete beginner, someone who knows a little and wants to learn more, or a programmer looking to change their career to the cloud.The cloud is the future. You don't want to miss out on the future, do you? Read this book and we'll discover it together.I’m excited. This will be fun. Let’s get started!

    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.

    His job no longer existed. "I think they just want to hire younger people," his boss at Newsweek told him. Fifty years old and with a wife and two young kids, Dan was, in a word, screwed. Then an idea hit. Dan had long reported on Silicon Valley and the tech explosion. Why not join it? HubSpot, a Boston start-up, was flush with $100 million in venture capital. They offered Dan a pile of stock options for the vague role of "marketing fellow." What could go wrong? HubSpotters were true believers: They were making the world a better place ... by selling email spam. The office vibe was frat house meets cult compound: The party began at four thirty on Friday and lasted well into the night; "shower pods" became hook-up dens; a push-up club met at noon in the lobby, while nearby, in the "content factory," Nerf gun fights raged. Groups went on "walking meetings," and Dan's absentee boss sent cryptic emails about employees who had "graduated" (read: been fired). In the middle of all this was Dan, exactly twice the age of the average HubSpot employee, and literally old enough to be the father of most of his co-workers, sitting at his desk on his bouncy-ball "chair."Mixed in with Lyons's uproarious tale of his rise and fall at Hubspot is a trenchant analysis of the start-up world, a de facto conspiracy between those who start companies and those who fund them, a world where bad ideas are rewarded with hefty investments, where companies blow money lavishing perks on their post-collegiate workforces, and where everybody is trying to hang on just long enough to reach an IPO and cash out. With a cast of characters that includes devilish angel investors, fad-chasing venture capitalists, entrepreneurs and "wantrapreneurs," bloggers and brogrammers, social climbers and sociopaths, Disrupted is a gripping and definitive account of life in the (second) tech bubble.

    There are more than 5000 fintech startups operating, and 50 of them have already reached a billion-dollar valuation. The scope of this market goes way beyond online payments. Financial technology promises to change the way we manage our money online, disrupting the landscape of the financial services industry is being disrupted. Understanding its many facets is the key to navigating the complex nuances of this global industry.Fintech in a Flash is your comprehensive guide to the future of banking and insurance. The book aims to break down the key concepts in a way that will help you understand every aspect so that you can take advantage of new technologies. Inside you’ll find an array of hot topics such as online payments, crowdfunding, challenger banks, online insurance, digital lending, big data, and digital commerce. It will make you rethink the way that you manage your money online, and even find new ways of making online payments. Comprehensive, organized, and detailed, this guide is your go-to source for everything you need to confidently navigate the ever-changing scene of this booming industry.If you decide to buy this book now, you'll get: Easy to understand explanations of the 14 main areas of fintech The author's view on the future of each of these areas Insight into the main fintech hubs in the world Insight into the so called Unicorns, the fintech firms that have made it past a $1 billion valuation More than 100 upcoming fintech companies to watch About the Author: Agustín Rubini is an argentinean-born economist, master in international business, and Director at Banking Innovations. Passionate about building the future of financial services, Agustín spends much of his time speaking and writing on financial technology and advising businesses on innovation and digital transformation. He is a specialist in driving changes in top class banks that want to lead in how customers manage their money online. Tags: fintech, financial technology, financial services technology, money online, online payment, online insurance, insurtech, investing online, wealth management online, wealthtech, regtech, cybercrime, digital lending, digital commerce, ecommerce, e-commerce. Get started immediately Download now and take the first step on your very own road to mastering fintech. Scroll to the top of the page and hit the buy button.

    Through the lives of Geoff Hinton and other major players, Metz explains this transformative technology and makes the quest thrilling.--Walter Isaacson, author of The Code Breaker Recipient of starred reviews in both Kirkus and Library JournalTHE UNTOLD TECH STORY OF OUR TIMEWhat does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create?With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.Long dismissed as a technology of the distant future, artificial intelligence was a project consigned to the fringes of the scientific community. Then two researchers changed everything. One was a sixty-four-year-old computer science professor who didn't drive and didn't fly because he could no longer sit down--but still made his way across North America for the moment that would define a new age of technology. The other was a thirty-six-year-old neuroscientist and chess prodigy who laid claim to being the greatest game player of all time before vowing to build a machine that could do anything the human brain could do.They took two very different paths to that lofty goal, and they disagreed on how quickly it would arrive. But both were soon drawn into the heart of the tech industry. Their ideas drove a new kind of arms race, spanning Google, Microsoft, Facebook, and OpenAI, a new lab founded by Silicon Valley kingpin Elon Musk. But some believed that China would beat them all to the finish line.Genius Makers dramatically presents the fierce conflict between national interests, shareholder value, the pursuit of scientific knowledge, and the very human concerns about privacy, security, bias, and prejudice. Like a great Victorian novel, this world of eccentric, brilliant, often unimaginably yet suddenly wealthy characters draws you into the most profound moral questions we can ask. And like a great mystery, it presents the story and facts that lead to a core, vital question:How far will we let it go?

    But if you cut off a starfish’s leg it grows a new one, and the old leg can grow into an entirely new starfish.What’s the hidden power behind the success of Wikipedia, Craigslist, and Skype? What do eBay and General Electric have in common with the abolitionist and women’s rights movements? What fundamental choice put General Motors and Toyota on vastly different paths? How could winning a Supreme Court case be the biggest mistake MGM could have made?After five years of ground-breaking research, Ori Brafman and Rod Beckstrom share some unexpected answers, gripping stories, and a tapestry of unlikely connections. The Starfish and the Spider argues that organizations fall into two categories: traditional “spiders,” which have a rigid hierarchy and top-down leadership, and revolutionary “starfish,” which rely on the power of peer relationships.The Starfish and the Spider explores what happens when starfish take on spiders (such as the music industry vs. Napster, Kazaa, and the P2P services that followed). It reveals how established companies and institutions, from IBM to Intuit to the US government, are also learning how to incorporate starfish principles to achieve success. The book explores:* How the Apaches fended off the powerful Spanish army for 200 years* The power of a simple circle* The importance of catalysts who have an uncanny ability to bring people together * How the Internet has become a breeding ground for leaderless organizations* How Alcoholics Anonymous has reached untold millions with only a shared ideology and without a leaderThe Starfish and the Spider is the rare book that will change how you understand the world around you.

    However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers attain human intelligence. Gödel, Escher, Bach is a wonderful exploration of fascinating ideas at the heart of cognitive science: meaning, reduction, recursion, and much more.

    While this has had the positive effect of equalizing access to knowledge, it also has lowered the bar on what depth of knowledge is required to consider oneself an "expert." A cult of anti-expertise sentiment has coincided with anti-intellectualism, resulting in massively viral yet poorly informed debates ranging from the anti-vaccination movement to attacks on GMOs. This surge in intellectual egalitarianism has altered the landscape of debates-all voices are equal, and "fact" is a subjective term. Browsing WebMD puts one on equal footing with doctors, and Wikipedia allows all to be foreign policy experts, scientists, and more. As Tom Nichols shows in The Death of Expertise, there are a number of reasons why this has occurred-ranging from easy access to Internet search engines to a customer satisfaction model within higher education. The product of these interrelated trends, Nichols argues, is a pervasive distrust of expertise among the public coinciding with an unfounded belief among non-experts that their opinions should have equal standing with those of the experts. The experts are not always right, of course, and Nichols discusses expert failure. The crucial point is that bad decisions by experts can and have been effectively challenged by other well-informed experts. The issue now is that the democratization of information dissemination has created an army of ill-informed citizens who denounce expertise.When challenged, non-experts resort to the false argument that the experts are often wrong. Though it may be true, but the solution is not to jettison expertise as an ideal; it is to improve our expertise. Nichols is certainly not opposed to information democratization, but rather the enlightenment people believe they achieve after superficial internet research. He shows in vivid detail the ways in which this impulse is coursing through our culture and body politic, but the larger goal is to explain the benefits that expertise and rigorous learning regimes bestow upon all societies.