In this groundbreaking analysis, over thirty of the most popular treatments—acupuncture, homeopathy, aromatherapy, reflexology, chiropractic, and herbal medicines—are examined for their benefits and potential dangers. Questions answered include: What works and what doesn't? What are the secrets, and what are the lies? Who can you trust, and who is ripping you off? Can science decide what is best, or do the old wives' tales really tap into ancient, superior wisdom?In their scrutiny of alternative and complementary cures, authors Simon Singh and Edzard Ernst also strive to reassert the primacy of the scientific method as a means for determining public health practice and policy.

    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

    This concept is at the root of the computational worldview, which basically says that very complex systems — the world we live in — have their beginnings in simple mathematical equations. We've lately come to understand that such an algorithm is only the start of a never-ending story — the real action occurs in the unfolding consequences of the rules. The chip-in-a-box computers so popular in our time have acted as a kind of microscope, letting us see into the secret machinery of the world. In Lifebox, Rucker uses whimsical drawings, fables, and humor to demonstrate that everything is a computation — that thoughts, computations, and physical processes are all the same. Rucker discusses the linguistic and computational advances that make this kind of "digital philosophy" possible, and explains how, like every great new principle, the computational world view contains the seeds of a next step.

    To shape debates over health care, energy policy, space travel, and other vital issues, ordinary citizens must engage directly with research rather than relying on pundits’ and politicians’ interpretations. Otherwise, fringe opinions that have been discredited in the scientific community can take hold in the public imagination. At the same time, scientists must understand their roles as communicators and ambassadors as well as researchers.Rees not only diagnoses this central problem but also explains how scientists and the general public can deploy a global, long-term perspective to address the new challenges we face. In the process, he reveals critical shortcomings in our current system—for example, the tendency to be overly anxious about minor hazards while underrating the risk of potential catastrophes. Offering a strikingly clear portrait of the future of science, Rees tackles such diverse topics as the human brain, the possibility that humans will colonize other planets, and the existence of extraterrestrial life in order to distinguish between what scientists can hope to discover and what will always lie beyond our grasp.A fresh perspective on science’s significance and potential, From Here to Infinity will inspire and enlighten.

    Now in The Undiscovered Mind he focuses on the single most important scientific enterprise of all -- the effort to understand the human mind. Horgan takes us inside laboratories, hospitals, and universities to meet neuro-scientists, Freudian analysts, electroshock therapists, behavioral geneticists, evolutionary psychologists, artificial intelligence engineers, and philosophers of consciousness. He looks into the persistent explanatory gap between mind and body that Socrates pondered and shows that it has not been bridged. He investigates what he calls the "Humpty Dumpty dilemma," the fact that neuroscientists can break the brain and mind into pieces but cannot put the pieces back together again. He presents evidence that the placebo effect is the primary ingredient of psychotherapy, Prozac, and other treatments for mental disorders. As Horgan shows, the mystery of human consciousness, of why and how we think, remains so impregnable that to expect the attempts of scientific method and technology to penetrate it anytime soon is absurd.

    In the first-ever history about the organization, New York Times bestselling author Annie Jacobsen draws on inside sources, exclusive interviews, private documents, and declassified memos to paint a picture of DARPA, or "the Pentagon's brain," from its Cold War inception in 1958 to the present.This is the book on DARPA--a compelling narrative about this clandestine intersection of science and the American military and the often frightening results.

    Hughes challenges both the technophobia of Leon Kass and Francis Fukuyama and the unchecked enthusiasm of others for limitless human enhancement. He argues instead for a third way, "democratic transhumanism," by asking the question destined to become a fundamental issue of the twenty-first century: How can we use new cybernetic and biomedical technologies to make life better for everyone? These technologies hold great promise, but they also pose profound challenges to our health, our culture, and our liberal democratic political system. By allowing humans to become more than human - "posthuman" or "transhuman" - the new technologies will require new answers for the enduring issues of liberty and the common good. What limits should we place on the freedom of people to control their own bodies? Who should own genes and other living things? Which technologies should be mandatory, which voluntary, and which forbidden? For answers to these challenges, Citizen Cyborg proposes a radical return to a faith in the resilience of our democratic institutions.

    Written by the man who started the adventure, Behind Deep Blue reveals the inside story of what happened behind the scenes at the two historic Deep Blue vs. Kasparov matches. This is also the story behind the quest to create the mother of all chess machines. The book unveils how a modest student project eventually produced a multimillion dollar supercomputer, from the development of the scientific ideas through technical setbacks, rivalry in the race to develop the ultimate chess machine, and wild controversies to the final triumph over the world's greatest human player.In nontechnical, conversational prose, Feng-hsiung Hsu, the system architect of Deep Blue, tells us how he and a small team of fellow researchers forged ahead at IBM with a project they'd begun as students at Carnegie Mellon in the mid-1980s: the search for one of the oldest holy grails in artificial intelligence--a machine that could beat any human chess player in a bona fide match. Back in 1949 science had conceived the foundations of modern chess computers but not until almost fifty years later--until Deep Blue--would the quest be realized.Hsu refutes Kasparov's controversial claim that only human intervention could have allowed Deep Blue to make its decisive, "uncomputerlike" moves. In riveting detail he describes the heightening tension in this war of brains and nerves, the "smoldering fire" in Kasparov's eyes. Behind Deep Blue is not just another tale of man versus machine. This fascinating book tells us how man as genius was given an ultimate, unforgettable run for his mind, no, not by the genius of a computer, but of man as toolmaker.

    They are built with the objective of providing assessment, review, and practice to help ensure you are fully prepared for your certification exam. Master Cisco CCENT/CCNA ICND1 100-105 exam topics Assess your knowledge with chapter-opening quizzes Review key concepts with exam preparation tasks This is the eBook edition of the CCENT/CCNA ICND1 100-105 Official Cert Guide. This eBook does not include the companion CD-ROM with practice exam that comes with the print edition.   CCENT/CCNA ICND1 100-105 Official Cert Guide presents you with an organized test-preparation routine through the use of proven series elements and techniques. “Do I Know This Already?” quizzes open each chapter and enable you to decide how much time you need to spend on each section. Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly.   CCENT/CCNA ICND1 100-105 Official Cert Guide from Cisco Press enables you to succeed on the exam the first time and is the only self-study resource approved by Cisco. Best-selling author and expert instructor Wendell Odom shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your conceptual knowledge and hands-on skills.   This complete study package includes   ·         A test-preparation routine proven to help you pass the exams ·         Do I Know This Already? quizzes, which enable you to decide how much time you need to spend on each section ·         Chapter-ending and part-ending exercises, which help you drill on key concepts you must know thoroughly ·         Troubleshooting sections, which help you master the complex scenarios you will face on the exam ·         A free copy of the CCENT ICND1 100-105 Network Simulator Lite software, complete with meaningful lab exercises that help you hone your hands-on skills with the command-line interface for routers and switches ·         Links to a series of hands-on config labs developed by the author ·         Online, interactive practice exercises that help you hone your knowledge ·         More than 90 minutes of video mentoring from the author ·         A final preparation chapter, which guides you through tools and resources to help you craft your review and test-taking strategies ·         Study plan suggestions and templates to help you organize and optimize your study time   Well regarded for its level of detail, study plans, assessment features, challenging review questions and exercises, video instruction, and hands-on labs, this official study guide helps you master the concepts and techniques that ensure your exam success.   This official study guide helps you master all the topics on the CCENT/CCNA ICND1 exam, including ·         Networking fundamentals ·         Implementing basic Ethernet LANs ·         Ethernet LANs: design, VLANs, and troubleshooting ·         IPv4 addressing and subnetting ·         Implementing IPv4 ·         IPv4 design and troubleshooting ...

    Python is considered easy to learn, but there's no quicker way to mastery of the language than learning from an expert teacher. This edition of "Learning Python" puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language. "Learning Python," Second Edition, offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators. Beyond language features, this edition of "Learning Python" also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. The first part of "Learning Python" gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding."Learning Python," Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then "Learning Python," Second Edition is your best choice.

    Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title `learning from data' that faithfully describes what the subject is about, and made it a point to cover the topics in a story-like fashion. Our hope is that the reader can learn all the fundamentals of the subject by reading the book cover to cover. ---- Learning from data has distinct theoretical and practical tracks. In this book, we balance the theoretical and the practical, the mathematical and the heuristic. Our criterion for inclusion is relevance. Theory that establishes the conceptual framework for learning is included, and so are heuristics that impact the performance of real learning systems. ---- Learning from data is a very dynamic field. Some of the hot techniques and theories at times become just fads, and others gain traction and become part of the field. What we have emphasized in this book are the necessary fundamentals that give any student of learning from data a solid foundation, and enable him or her to venture out and explore further techniques and theories, or perhaps to contribute their own. ---- The authors are professors at California Institute of Technology (Caltech), Rensselaer Polytechnic Institute (RPI), and National Taiwan University (NTU), where this book is the main text for their popular courses on machine learning. The authors also consult extensively with financial and commercial companies on machine learning applications, and have led winning teams in machine learning competitions.

    In 1935, aged 22, he developed the mathematical theory upon which all subsequent stored-program digital computers are modeled.At the outbreak of hostilities with Germany in September 1939, he joined the Government Codebreaking team at Bletchley Park, Buckinghamshire and played a crucial role in deciphering Engima, the code used by the German armed forces to protect their radio communications. Turing's work on the versionof Enigma used by the German navy was vital to the battle for supremacy in the North Atlantic. He also contributed to the attack on the cyphers known as Fish, which were used by the German High Command for the encryption of signals during the latter part of the war. His contribution helped toshorten the war in Europe by an estimated two years.After the war, his theoretical work led to the development of Britain's first computers at the National Physical Laboratory and the Royal Society Computing Machine Laboratory at Manchester University.Turing was also a founding father of modern cognitive science, theorizing that the cortex at birth is an unorganized machine which through training becomes organized into a universal machine or something like it. He went on to develop the use of computers to model biological growth, launchingthe discipline now referred to as Artificial Life.The papers in this book are the key works for understanding Turing's phenomenal contribution across all these fields. The collection includes Turing's declassified wartime Treatise on the Enigma; letters from Turing to Churchill and to codebreakers; lectures, papers, and broadcasts which opened upthe concept of AI and its implications; and the paper which formed the genesis of the investigation of Artifical Life.

    They have brains that are huge for their body size and exhibit an avian kind of eloquence. They mate for life and associate with relatives and neighbors for years. And because they often live near people—in our gardens, parks, and cities—they are also keenly aware of our peculiarities, staying away from and even scolding anyone who threatens or harms them and quickly learning to recognize and approach those who care for and feed them, even giving them numerous, oddly touching gifts in return. With his extraordinary research on the intelligence and startling abilities of corvids—crows, ravens, and jays—scientist John Marzluff teams up with artist-naturalist Tony Angell to tell amazing stories of these brilliant birds in Gifts of the Crow. With narrative, diagrams, and gorgeous line drawings, they offer an in-depth look at these complex creatures and our shared behaviors. The ongoing connection between humans and crows—a cultural coevolution—has shaped both species for millions of years. And the characteristics of crows that allow this symbiotic relationship are language, delinquency, frolic, passion, wrath, risk-taking, and awareness—seven traits that humans find strangely familiar. Crows gather around their dead, warn of impending doom, recognize people, commit murder of other crows, lure fish and birds to their death, swill coffee, drink beer, turn on lights to stay warm, design and use tools, use cars as nutcrackers, windsurf and sled to play, and work in tandem to spray soft cheese out of a can. Their marvelous brains allow them to think, plan, and reconsider their actions. With its abundance of funny, awe-inspiring, and poignant stories, Gifts of the Crow portrays creatures who are nothing short of amazing. A testament to years of painstaking research and careful observation, this fully illustrated, riveting work is a thrilling look at one of nature’s most wondrous creatures.

    More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversity--and possibly dilution.This guide, collaboratively written by over a hundred members of the Python community, describes best practices currently used by package and application developers. Unlike other books for this audience, The Hitchhiker's Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.

    The world has changed since then. Today it is clear that "good old-fashioned AI," based on the idea of using symbolic representations to produce general intelligence, is in decline (although several believers still pursue its pot of gold), and the focus of the AI community has shifted to more complex models of the mind. It has also become more common for AI researchers to seek out and study philosophy. For this edition of his now classic book, Dreyfus has added a lengthy new introduction outlining these changes and assessing the paradigms of connectionism and neural networks that have transformed the field. At a time when researchers were proposing grand plans for general problem solvers and automatic translation machines, Dreyfus predicted that they would fail because their conception of mental functioning was naive, and he suggested that they would do well to acquaint themselves with modern philosophical approaches to human being. "What Computers Still Can't Do" was widely attacked but quietly studied. Dreyfus's arguments are still provocative and focus our attention once again on what it is that makes human beings unique.