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.

    The many aspects of our lives that are governed by social networks make it critical to understand how they impact behavior, which network structures are likely to emerge in a society, and why we organize ourselves as we do. In Social and Economic Networks, Matthew Jackson offers a comprehensive introduction to social and economic networks, drawing on the latest findings in economics, sociology, computer science, physics, and mathematics. He provides empirical background on networks and the regularities that they exhibit, and discusses random graph-based models and strategic models of network formation. He helps readers to understand behavior in networked societies, with a detailed analysis of learning and diffusion in networks, decision making by individuals who are influenced by their social neighbors, game theory and markets on networks, and a host of related subjects. Jackson also describes the varied statistical and modeling techniques used to analyze social networks. Each chapter includes exercises to aid students in their analysis of how networks function.This book is an indispensable resource for students and researchers in economics, mathematics, physics, sociology, and business.

    "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems."

    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.

    Turing Mathematician Alan Turing invented an imaginary computer known as the Turing Machine; in an age before computers, he explored the concept of what it meant to be "computable," creating the field of computability theory in the process, a foundation of present-day computer programming.The book expands Turing's original 36-page paper with additional background chapters and extensive annotations; the author elaborates on and clarifies many of Turing's statements, making the original difficult-to-read document accessible to present day programmers, computer science majors, math geeks, and others.Interwoven into the narrative are the highlights of Turing's own life: his years at Cambridge and Princeton, his secret work in cryptanalysis during World War II, his involvement in seminal computer projects, his speculations about artificial intelligence, his arrest and prosecution for the crime of "gross indecency," and his early death by apparent suicide at the age of 41.

    It is how China and India began to embrace neoliberal ideas of economics and attributed a sense of dignity and liberty to the bourgeoisie they had denied for so long. The result was an explosion in economic growth and proof that economic change depends less on foreign trade, investment, or material causes, and a whole lot more on ideas and what people believe.Or so says Deirdre N. McCloskey in Bourgeois Dignity, a fiercely contrarian history that wages a similar argument about economics in the West. Here she turns her attention to seventeenth- and eighteenth-century Europe to reconsider the birth of the industrial revolution and the rise of capitalism. According to McCloskey, our modern world was not the product of new markets and innovations, but rather the result of shifting opinions about them. During this time, talk of private property, commerce, and even the bourgeoisie itself radically altered, becoming far more approving and flying in the face of prejudices several millennia old. The wealth of nations, then, didn’t grow so dramatically because of economic factors: it grew because rhetoric about markets and free enterprise finally became enthusiastic and encouraging of their inherent dignity.An utterly fascinating sequel to her critically acclaimed book The Bourgeois Virtues, Bourgeois Dignity is a feast of intellectual riches from one of our most spirited and ambitious historians—a work that will forever change our understanding of how the power of persuasion shapes our economic lives.

    For nearly forty years, David Harvey has written and lectured on Capital, becoming one of the world’s most foremost Marx scholars.Based on his recent lectures, this current volume aims to bring this depth of learning to a broader audience, guiding first-time readers through a fascinating and deeply rewarding text. A Companion to Marx’s Capital offers fresh, original and sometimes critical interpretations of a book that changed the course of history and, as Harvey intimates, may do so again.David Harvey’s video lecture course can be found here: davidharvey.org/reading-capital/

    This title is intended for those who might enjoy an engaging dialogue on abstract mathematical ideas, and those who might wish to experience how new mathematics is created.

    This book is required reading for anyone concerned about a fundamental transformation of the ailing capitalist economy."—Cornel West“Richard Wolff’s constructive and innovative ideas suggest new and promising foundations for a much more authentic democracy and sustainable and equitable development, ideas that can be implemented directly and carried forward. A very valuable contribution in troubled times.”—Noam Chomsky"Probably America's most prominent Marxist economist."—The New York TimesCapitalism as a system has spawned deepening economic crisis alongside its bought-and-paid-for political establishment. Neither serves the needs of our society. Whether it is secure, well-paid, and meaningful jobs or a sustainable relationship with the natural environment that we depend on, our society is not delivering the results people need and deserve.One key cause for this intolerable state of affairs is the lack of genuine democracy in our economy as well as in our politics. The solution requires the institution of genuine economic democracy, starting with workers directing their own workplaces, as the basis for a genuine political democracy.Here Richard D. Wolff lays out a hopeful and concrete vision of how to make that possible, addressing the many people who have concluded economic inequality and politics as usual can no longer be tolerated and are looking for a concrete program of action.Richard D. Wolff is professor of economics emeritus at the University of Massachusetts, Amherst. He is currently a visiting professor at the New School for Social Research in New York. Wolff is the author of many books, including Capitalism Hits the Fan: The Global Economic Meltdown and What to Do About It. He hosts the weekly hour-long radio program Economic Update on WBAI (Pacifica Radio) and writes regularly for The Guardian, Truthout.org, and MRZine.

    During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.

    The solution is to rein in the market, right? Radical Markets turns this thinking--and pretty much all conventional thinking about markets, both for and against--on its head. The book reveals bold new ways to organize markets for the good of everyone. It shows how the emancipatory force of genuinely open, free, and competitive markets can reawaken the dormant nineteenth-century spirit of liberal reform and lead to greater equality, prosperity, and cooperation.Eric Posner and Glen Weyl demonstrate why private property is inherently monopolistic, and how we would all be better off if private ownership were converted into a public auction for public benefit. They show how the principle of one person, one vote inhibits democracy, suggesting instead an ingenious way for voters to effectively influence the issues that matter most to them. They argue that every citizen of a host country should benefit from immigration--not just migrants and their capitalist employers. They propose leveraging antitrust laws to liberate markets from the grip of institutional investors and creating a data labor movement to force digital monopolies to compensate people for their electronic data.Only by radically expanding the scope of markets can we reduce inequality, restore robust economic growth, and resolve political conflicts. But to do that, we must replace our most sacred institutions with truly free and open competition--Radical Markets shows how.

    Get ready to amaze your friends—and yourself—with incredible calculations you never thought you could master, as renowned “mathemagician” Arthur Benjamin shares his techniques for lightning-quick calculations and amazing number tricks. This book will teach you to do math in your head faster than you ever thought possible, dramatically improve your memory for numbers, and—maybe for the first time—make mathematics fun.Yes, even you can learn to do seemingly complex equations in your head; all you need to learn are a few tricks. You’ll be able to quickly multiply and divide triple digits, compute with fractions, and determine squares, cubes, and roots without blinking an eye. No matter what your age or current math ability, Secrets of Mental Math will allow you to perform fantastic feats of the mind effortlessly. This is the math they never taught you in school.Also available as an eBook

    In many countries, supplies of food and water are inadequate to support the population, so the world falls deeper and deeper into what economists call the "Malthusian trap."Here, Malthus examines the tendency of human numbers to outstrip their resources, and argues that poverty, disease, and starvation are necessary to keep societies from moving beyond their means of subsistence.Public Domain (P)2013 Audible Ltd

    Digital technologies—with hardware, software, and networks at their core—will in the near future diagnose diseases more accurately than doctors can, apply enormous data sets to transform retailing, and accomplish many tasks once considered uniquely human.In The Second Machine Age MIT’s Erik Brynjolfsson and Andrew McAfee—two thinkers at the forefront of their field—reveal the forces driving the reinvention of our lives and our economy. As the full impact of digital technologies is felt, we will realize immense bounty in the form of dazzling personal technology, advanced infrastructure, and near-boundless access to the cultural items that enrich our lives.Amid this bounty will also be wrenching change. Professions of all kinds—from lawyers to truck drivers—will be forever upended. Companies will be forced to transform or die. Recent economic indicators reflect this shift: fewer people are working, and wages are falling even as productivity and profits soar.Drawing on years of research and up-to-the-minute trends, Brynjolfsson and McAfee identify the best strategies for survival and offer a new path to prosperity. These include revamping education so that it prepares people for the next economy instead of the last one, designing new collaborations that pair brute processing power with human ingenuity, and embracing policies that make sense in a radically transformed landscape.A fundamentally optimistic book, The Second Machine Age alters how we think about issues of technological, societal, and economic progress.

    In this entertaining and ingenious book, Blastland reveals how in our quest to make the world more understandable, we lose sight of how unexplainable it often is. The result - from GDP figures to medicine - is that experts know a lot less than they think. Filled with compelling stories from economics, genetics, business, and science, The Hidden Half is a warning that an explanation which works in one arena may not work in another. Entertaining and provocative, it will change how you view the world.