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

    Each self-contained chapter consists of three sections. The first describes the statistic, including how it is used and what information it provides. The second section reviews how it works, how to calculate the formula, the strengths and weaknesses of the technique, and the conditions needed for its use. The final section provides examples that use and interpret the statistic. A glossary of terms and symbols is also included.New features in the second edition include:an interactive CD with PowerPoint presentations and problems for each chapter including an overview of the problem's solution; new chapters on basic research concepts including sampling, definitions of different types of variables, and basic research designs and one on nonparametric statistics; more graphs and more precise descriptions of each statistic; and a discussion of confidence intervals.This brief paperback is an ideal supplement for statistics, research methods, courses that use statistics, or as a reference tool to refresh one's memory about key concepts. The actual research examples are from psychology, education, and other social and behavioral sciences.Materials formerly available with this book on CD-ROM are now available for download from our website www.psypress.com. Go to the book's page and look for the 'Download' link in the right-hand column.

    A classic title on the PC revolution originally published in 1986. Featuring Bill Gates, Andy Hertzfeld, Charles Simonyi, Ray Ozzie, Michael Hawley and many more.

    The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Algorithmic Perspective is that text.Theory Backed up by Practical ExamplesThe book covers neural networks, graphical models, reinforcement learning, evolutionary algorithms, dimensionality reduction methods, and the important area of optimization. It treads the fine line between adequate academic rigor and overwhelming students with equations and mathematical concepts. The author addresses the topics in a practical way while providing complete information and references where other expositions can be found. He includes examples based on widely available datasets and practical and theoretical problems to test understanding and application of the material. The book describes algorithms with code examples backed up by a website that provides working implementations in Python. The author uses data from a variety of applications to demonstrate the methods and includes practical problems for students to solve.Highlights a Range of Disciplines and ApplicationsDrawing from computer science, statistics, mathematics, and engineering, the multidisciplinary nature of machine learning is underscored by its applicability to areas ranging from finance to biology and medicine to physics and chemistry. Written in an easily accessible style, this book bridges the gaps between disciplines, providing the ideal blend of theory and practical, applicable knowledge."

    

    But MIT Media Lab researcher and technology policy expert Kate Darling argues just the opposite, and that treating robots with a bit of humanity, more like the way we treat animals, will actually serve us better. From a social, legal, and ethical perspective, she shows that our current ways of thinking don't leave room for the robot technology that is soon to become part of our everyday routines. Robots are likely to supplement--rather than replace--our own skills and relationships. So if we consider our history of incorporating animals into our work, transportation, military, and even families, we actually have a solid basis for how to contend with this future.A deeply original analysis of our technological future and the ethical dilemmas that await us, The New Breed explains how the treatment of machines can reveal a new understanding of our own history, our own systems and how we relate--not just to non-humans, but also to each other.

    He constructed a fleet of customized unicycles and a flamethrowing trumpet, outfoxed Vegas casinos, and built juggling robots. He also wrote the seminal text of the digital revolution, which has been called “the Magna Carta of the Information Age.” His discoveries would lead contemporaries to compare him to Albert Einstein and Isaac Newton. His work anticipated by decades the world we’d be living in today—and gave mathematicians and engineers the tools to bring that world to pass.In this elegantly written, exhaustively researched biography, Jimmy Soni and Rob Goodman reveal Claude Shannon’s full story for the first time. It’s the story of a small-town Michigan boy whose career stretched from the era of room-sized computers powered by gears and string to the age of Apple. It’s the story of the origins of our digital world in the tunnels of MIT and the “idea factory” of Bell Labs, in the “scientists’ war” with Nazi Germany, and in the work of Shannon’s collaborators and rivals, thinkers like Alan Turing, John von Neumann, Vannevar Bush, and Norbert Wiener.And it’s the story of Shannon’s life as an often reclusive, always playful genius. With access to Shannon’s family and friends, A Mind at Play brings this singular innovator and creative genius to life.

    In this highly readable short biography, Alexander Kennedy brings Mozart and his times vividly to life. Here we see the sweeping grandeur of the courts Mozart visited as a child prodigy, and the grasping desperation of his scheming father. We follow the composer through the flush of his first love up through his marriage to Constanze Weber, and from his first, half-plagiarized concertos to masterpieces like The Magic Flute. We watch Mozart clash with family and friends, with archbishops and emperors, and we feel again the tragedy of his mysterious early death. And above all, we hear his eternal music: music that captivated a continent, defined a genre, and changed the world. “I pay no attention whatever to anybody's praise or blame. I simply follow my own feelings” - Wolfgang Amadeus Mozart Buy Now to Discover: A layperson’s explanation of the devices that made Mozart’s music unique. The complicated relationship between Mozart and his demanding father. Mozart’s love affair with his cousin Maria Anna Thekla. The surprising story behind the premiere of La nozze di Figaro. Mozart’s friendship with fellow master Joseph Haydn. The most likely cause of Mozart’s young death. Mozart’s influence on Rossini, Beethoven, Tchaikovsky, and more. Read Your Book Now Your book will be instantly and automatically delivered to your Kindle device, smartphone, tablet, and computer. FREE Bonus Book Buy this book now and receive instant access to your free Kindle ebook. Money Back Guarantee If you start reading our book and are not completely satisfied with your purchase, simply return it to Amazon within 7 days for a full refund. Go to Your Account -> Manage Your Content and Devices -> Find the Book -> Return for Full Refund. Buy Now and Read The True Story of Wolfgang Amadeus Mozart... Thank you in advance for buying our book. We know you'll love it!

    It includes the story of Frank's beloved sister, Eva, who was a top-class West End shoplifter, and his sons David and Patrick, who reveal in shocking detail the full extent of the family's network and the influences that shaped them.With sawn-off shotguns as toys, the Kray twins as family friends and a mother who urged them as teenagers to 'get out of bed and rob a bleedin' bank', it is little wonder that the Fraser boys were heavily involved in organized crime by the time they were in their twenties. Packed with new information, and featuring some of the most famous names in the London underworld, this is a fascinating slice of gangland history seen through the eyes of Frank Fraser and his two renegade sons.

    For more than a year, Washington Post reporter Robert O'Harrow has explored the threats proliferating in our digital universe. This eBook is a compilation of that reporting. With chapters built around real people, including hackers, security researchers and corporate executives, this book will help regular people, lawmakers and businesses better understand the mind-bending challenge of keeping the internet safe from hackers and security breaches -- and all out war.

    With a philosopher's sense of inquiry, Auerbach recounts his childhood spent drawing ferns with the programming language Logo on the Apple IIe, his adventures in early text-based video games, his education as an engineer, and his contributions to instant messaging technology developed for Microsoft and the servers powering Google's data stores. A lifelong student of the systems that shape our lives--from the psychiatric taxonomy of the Diagnostic and Statistical Manual to how Facebook tracks and profiles its users--Auerbach reflects on how he has experienced the algorithms that taxonomize human speech, knowledge, and behavior and that compel us to do the same.Into this exquisitely crafted, wide-ranging memoir of a life spent with code, Auerbach has woven an eye-opening and searing examination of the inescapable ways in which algorithms have both standardized and coarsened our lives. As we engineer ever more intricate technology to translate our experiences and narrow the gap that divides us from the machine, Auerbach argues, we willingly erase our nuances and our idiosyncrasies--precisely the things that make us human.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    Acclaimed technologist and inventor Amir Husain explains how we can live amidst the coming age of sentient machines and artificial intelligence—and not only survive, but thrive.Artificial “machine” intelligence is playing an ever-greater role in our society. We are already using cruise control in our cars, automatic checkout at the drugstore, and are unable to live without our smartphones. The discussion around AI is polarized; people think either machines will solve all problems for everyone, or they will lead us down a dark, dystopian path into total human irrelevance. Regardless of what you believe, the idea that we might bring forth intelligent creation can be intrinsically frightening. But what if our greatest role as humans so far is that of creators? Amir Husain, a brilliant inventor and computer scientist, argues that we are on the cusp of writing our next, and greatest, creation myth. It is the dawn of a new form of intellectual diversity, one that we need to embrace in order to advance the state of the art in many critical fields, including security, resource management, finance, and energy. “In The Sentient Machine, Husain prepares us for a brighter future; not with hyperbole about right and wrong, but with serious arguments about risk and potential” (Dr. Greg Hyslop, Chief Technology Officer, The Boeing Company). He addresses broad existential questions surrounding the coming of AI: Why are we valuable? What can we create in this world? How are we intelligent? What constitutes progress for us? And how might we fail to progress? Husain boils down complex computer science and AI concepts into clear, plainspoken language and draws from a wide variety of cultural and historical references to illustrate his points. Ultimately, Husain challenges many of our societal norms and upends assumptions we hold about “the good life.”

    Gillet, at the age of 36 an accomplished sailor and paddler, navigated by sextant and always knew his position within a few miles. Still, Gillet underestimated the abuse his body would take from the relentless, pounding, swells of the Pacific, and early into his voyage he was covered with salt water sores and found that he could find no comfortable position for sitting or sleeping. Along the way he endured a broken rudder, among other calamities, but at last reached Maui on his 63rd day at sea, four days after his food had run out. Dave Shively brings Gillet's remarkable story to life in this gripping narrative, based on exclusive access to Gillet's logs as well as interviews with the legendary paddler himself.

    Huge commercial databases track your finances and sell that information to anyone willing to pay. Host sites on the World Wide Web record every page you view, and “smart” toll roads know where you drive. Every day, new technology nibbles at our privacy. Does that make you nervous?David Brin is worried, but not just about privacy. He fears that society will overreact to these technologies by restricting the flow of information, frantically enforcing a reign of secrecy. Such measures, he warns, won’t really preserve our privacy. Governments, the wealthy, criminals, and the techno-elite will still find ways to watch us. But we’ll have fewer ways to watch them. We’ll lose the key to a free society: accountability.The Transparent Society is a call for “reciprocal transparency.” If police cameras watch us, shouldn’t we be able to watch police stations? If credit bureaus sell our data, shouldn't we know who buys it? Rather than cling to an illusion of anonymity - a historical anomaly, given our origins in close-knit villages - we should focus on guarding the most important forms of privacy and preserving mutual accountability. The biggest threat to our freedom, Brin warns, is that surveillance technology will be used by too few people, now by too many.A society of glass houses may seem too fragile. Fearing technology-aided crime, governments seek to restrict online anonymity; fearing technology-aided tyranny, citizens call for encrypting all data. Brins shows how, contrary to both approaches, windows offer us much better protection than walls; after all, the strongest deterrent against snooping has always been the fear of being spotted. Furthermore, Brin argues, Western culture now encourages eccentricity - we’re programmed to rebel! That gives our society a natural protection against error and wrong-doing, like a body’s immune system. But “social T-cells” need openness to spot trouble and get the word out.The Transparent Society is full of such provocative and far-reaching analysis. The inescapable rush of technology is forcing us to make new choices about how we want to live. This daring book reminds us that an open society is more robust and flexible than one where secrecy reigns. In an era of gnat-sized cameras, universal databases, and clothes-penetrating radar, it will be more vital than ever for us to be able to watch the watchers. With reciprocal transparency we can detect dangers early and expose wrong-doers. We can gauge the credibility of pundits and politicians. We can share technological advances and news. But all of these benefits depend on the free, two-way flow of information.