Norbert Wiener's classic is one in that small company. Founder of the science of cybernetics—the study of the relationship between computers and the human nervous system—Wiener was widely misunderstood as one who advocated the automation of human life. As this book reveals, his vision was much more complex and interesting. He hoped that machines would release people from relentless and repetitive drudgery in order to achieve more creative pursuits. At the same time he realized the danger of dehumanizing and displacement. His book examines the implications of cybernetics for education, law, language, science, technology, as he anticipates the enormous impact—in effect, a third industrial revolution—that the computer has had on our lives.

    It’s easy and fun with this practical, hands-on introduction. Author Scott Murray teaches you the fundamental concepts and methods of D3, a JavaScript library that lets you express data visually in a web browser. Along the way, you’ll expand your web programming skills, using tools such as HTML and JavaScript.This step-by-step guide is ideal whether you’re a designer or visual artist with no programming experience, a reporter exploring the new frontier of data journalism, or anyone who wants to visualize and share data.Learn HTML, CSS, JavaScript, and SVG basicsDynamically generate web page elements from your data—and choose visual encoding rules to style themCreate bar charts, scatter plots, pie charts, stacked bar charts, and force-directed layoutsUse smooth, animated transitions to show changes in your dataIntroduce interactivity to help users explore data through different viewsCreate customized geographic maps with dataExplore hands-on with downloadable code and over 100 examples

    We’ve comea long way since then. With this book, Drs. Romero and Balch liftthe veil from many of these once-opaque concepts in high-techfinance. We can all benefit from learning how the cooperationbetween wetware and software creates fitter models. This bookdoes a fantastic job describing how the latest advances in financialmodeling and data science help today’s portfolio managerssolve these greater riddles. —Michael Himmel, ManagingPartner, Essex Asset ManagementI applaud Phil Romero’s willingness to write about the hedgefund world, an industry that is very private, often flamboyant,and easily misunderstood. As with every sector of the investmentlandscape, the hedge fund industry varies dramaticallyfrom quantitative “black box” technology, to fundamental researchand old-fashioned stock picking. This book helps investorsdistinguish between these diverse opposites and understandtheir place in the new evolving world of finance. —Mick Elfers,Founder and Chief Investment Strategist, Irvington Capital

    anyway?In Clear Bright Future, Paul Mason calls for a radical, impassioned defence of the human being, our universal rights and freedoms and our power to change the world around us. Ranging from economics to Big Data, from neuroscience to the culture wars, he draws from his on-the-ground reporting from mass protests in Istanbul to riots in Washington, as well as his own childhood in an English mining community, to show how the notion of humanity has become eroded as never before.In this book Paul Mason argues that we are still capable - through language, innovation and co-operation - of shaping our future. He offers a vision of humans as more than puppets, customers or cogs in a machine. This work of radical optimism asks: Do you want to be controlled? Or do you want something better?

    This is the first book to look at fracking from both economic and environmental perspectives."

    Today, ML algorithms accomplish tasks that - until recently - only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest.In the book, readers will learn how to:Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting.Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

     According to MSNBC, having a child makes you stupid. You actually lose IQ points. Good Morning America has announced that natural blondes will be extinct within two hundred years. Pundits estimated that there were more than a million demonstrators at a tea party rally in Washington, D.C., even though roughly sixty thousand were there. Numbers have peculiar powers-they can disarm skeptics, befuddle journalists, and hoodwink the public into believing almost anything. "Proofiness," as Charles Seife explains in this eye-opening book, is the art of using pure mathematics for impure ends, and he reminds readers that bad mathematics has a dark side. It is used to bring down beloved government officials and to appoint undeserving ones (both Democratic and Republican), to convict the innocent and acquit the guilty, to ruin our economy, and to fix the outcomes of future elections. This penetrating look at the intersection of math and society will appeal to readers of Freakonomics and the books of Malcolm Gladwell.

    

    Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike.

    Food availability, income, and life span are up; disease, child mortality, and violence are down — all across the globe. Though the world is far from perfect, necessities and luxuries alike are getting cheaper; population growth is slowing; Africa is following Asia out of poverty; the Internet, the mobile phone, and container shipping are enriching people’s lives as never before. The pessimists who dominate public discourse insist that we will soon reach a turning point and things will start to get worse. But they have been saying this for two hundred years.Yet Matt Ridley does more than describe how things are getting better. He explains why. Prosperity comes from everybody working for everybody else. The habit of exchange and specialization—which started more than 100,000 years ago—has created a collective brain that sets human living standards on a rising trend. The mutual dependence, trust, and sharing that result are causes for hope, not despair.This bold book covers the entire sweep of human history, from the Stone Age to the Internet, from the stagnation of the Ming empire to the invention of the steam engine, from the population explosion to the likely consequences of climate change. It ends with a confident assertion that thanks to the ceaseless capacity of the human race for innovative change, and despite inevitable disasters along the way, the twenty-first century will see both human prosperity and natural biodiversity enhanced. Acute, refreshing, and revelatory, The Rational Optimist will change your way of thinking about the world for the better.

    Bleak tools of the cold war, they embodied the rigid organization and mechanical conformity that made the military-industrial complex possible. But by the 1990s—and the dawn of the Internet—computers started to represent a very different kind of world: a collaborative and digital utopia modeled on the communal ideals of the hippies who so vehemently rebelled against the cold war establishment in the first place. From Counterculture to Cyberculture is the first book to explore this extraordinary and ironic transformation. Fred Turner here traces the previously untold story of a highly influential group of San Francisco Bay–area entrepreneurs: Stewart Brand and the Whole Earth network. Between 1968 and 1998, via such familiar venues as the National Book Award–winning Whole Earth Catalog, the computer conferencing system known as WELL, and, ultimately, the launch of the wildly successful Wired magazine, Brand and his colleagues brokered a long-running collaboration between San Francisco flower power and the emerging technological hub of Silicon Valley. Thanks to their vision, counterculturalists and technologists alike joined together to reimagine computers as tools for personal liberation, the building of virtual and decidedly alternative communities, and the exploration of bold new social frontiers. Shedding new light on how our networked culture came to be, this fascinating book reminds us that the distance between the Grateful Dead and Google, between Ken Kesey and the computer itself, is not as great as we might think.

    Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you’ll learn how to use: * IPython and Jupyter: provide computational environments for data scientists using Python * NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python * Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python * Matplotlib: includes capabilities for a flexible range of data visualizations in Python * Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

    100 complete coverage of all official objectives for Exams EX200 and EX300 Exam Readiness Checklist-youre ready for the exam when all objectives on the list are checked off Inside the Exam sections in every chapter highlight key exam topics covered Two-Minute Drills for quick review 100 lab questions-two full lab-based RHCSA exams and two full lab-based RHCE exams-match the format, tone, topics, and difficulty of the real exam Covers all the exam topics, including Virtual Machines and Automated Installations Fundamental Command Line Skills RHCSA-Level Security Options The Boot Process Linux Filesystem Administration Package Management User Administration RHCSA-Level System Administration RHCE Security System Services and SELinux RHCE Administration Mail Servers Samba File Sharing DNS, FTP, and Logging CD-ROM includes Complete lab-based exam preparation, featuring Two full RHCSA practice exams Two full RHCE practice exams Lab-based chapter self tests In-depth answer explanations for all labs RHCSA and RHCE Glossary PDF copy of the book for studying on the go Michael Jang, RHCE, LPIC-2, UCP, LCP, MCP, is the author of three previous bestselling editions of RHCE Red Hat Certified Engineer Linux Study Guide and several other books on Linux and professional certification.

    The Google Story takes you deep inside the company's wild ride from an idea that struggled for funding in 1998 to a firm that rakes in billions in profits, making Brin and Page the wealthiest young men in America. Based on scrupulous research and extraordinary access to Google, this fast-moving narrative reveals how an unorthodox management style and culture of innovation enabled a search engine to shake up Madison Avenue and Wall Street, scoop up YouTube, and battle Microsoft at every turn. Not afraid of controversy, Google is expanding in Communist China and quietly working on a searchable genetic database, initiatives that test the founders' guiding mantra: DON'T BE EVIL.

    But American engineer FREDERICK WINSLOW TAYLOR (1856-1915) broke new ground with this 1919 essay, in which he applied the rigors of scientific observation to such labor as shoveling and bricklayer in order to streamline their work... and bring a sense of logic and practicality to the management of that work. This highly influential book, must-reading for anyone seeking to understand modern management practices, puts lie to such misconceptions that making industrial processes more efficient increases unemployment and that shorter workdays decrease productivity. And it laid the foundations for the discipline of management to be studied, taught, and applied with methodical precision.