Admittedly, computers now play chess at the grandmaster level, but do they understand the game as we do? Can a computer eventually do everything a human mind can do? In this absorbing and frequently contentious book, Roger Penrose--eminent physicist and winner, with Stephen Hawking, of the prestigious Wolf prize--puts forward his view that there are some facets of human thinking that can never be emulated by a machine. Penrose examines what physics and mathematics can tell us about how the mind works, what they can't, and what we need to know to understand the physical processes of consciousness. He is among a growing number of physicists who think Einstein wasn't being stubborn when he said his little finger told him that quantum mechanics is incomplete, and he concludes that laws even deeper than quantum mechanics are essential for the operation of a mind. To support this contention, Penrose takes the reader on a dazzling tour that covers such topics as complex numbers, Turing machines, complexity theory, quantum mechanics, formal systems, Godel undecidability, phase spaces, Hilbert spaces, black holes, white holes, Hawking radiation, entropy, quasicrystals, the structure of the brain, and scores of other subjects. The Emperor's New Mind will appeal to anyone with a serious interest in modern physics and its relation to philosophical issues, as well as to physicists, mathematicians, philosophers and those on either side of the AI debate.

    Looking for an easy fix, she signs up for an art class, thinking all her problems will soon be solved. She's in for a surprise: her new instructor is a bamboo sword-wielding taskmaster who doesn't care about manga one bit. But maybe this unconventional art teacher is just what she needs to realize her dreams!

    Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges.It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

    She is now Myne, the sickly five-year-old daughter of a poor soldier. To make things worse, the world she's been reborn in has a very low literacy rate and books mostly don't exist. She'd have to pay an enormous amount of money to buy one.Myne resolves herself: If there aren't any books, she'll just have to make them! Her goal is to become a librarian. This story begins with her quest to make books so she can live surrounded by them!Dive into this biblio-fantasy written for book lovers and bookworms!

    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    It contains many puzzles and their solutions and aims to attract many readers in an age where computer science, logic, and mathematics are becoming increasingly important and popular.

    At the subatomic level, one particle seems to know what the others are doing, and according to Heisenberg's "uncertainty principle", there is a limit on how accurately nature can be observed. And yet the theory is amazingly accurate and widely applied, explaining all of chemistry and most of physics. "Introducing Quantum Theory" takes us on a step-by-step tour with the key figures, including Planck, Einstein, Bohr, Heisenberg and Schrodinger. Each contributed at least one crucial concept to the theory. The puzzle of the wave-particle duality is here, along with descriptions of the two questions raised against Bohr's "Copenhagen Interpretation" - the famous "dead and alive cat" and the EPR paradox. Both remain unresolved.

    Onward Towards Our Noble Deaths is his first book to be translated into English and is a semiautobiographical account of the desperate final weeks of a Japanese infantry unit at the end of WorldWar II. The soldiers are told that they must go into battle and die for the honor of their country, with certain execution facing them if they return alive. Mizuki was a soldier himself (he was severely injured and lost an arm) and uses his experiences to convey the devastating consequences and moral depravity of the war.Mizuki's list of accolades and achievements is long and detailed. In Japan, the life of Mizuki and his wife has been made into an extremely popular television drama that airs daily. Mizuki is the recipient of many awards, including the Best AlbumAward for his book NonNonBa (to be published in 2012 by D+Q) and the Heritage Essential Award for Onward Towards Our Noble Deaths at the Angoulême International Comics Festival, the Tezuka Osamu Cultural Prize Special Award, the Kyokujitsu Sho Decoration, the Shiju Hosho Decoration, and the KodanshaManga Award.His hometown of Sakaiminato honored him with Shigeru Mizuki Road—a street decorated with bronze statues of his Ge Ge Ge no Kitaro characters—and the Shigeru Mizuki International Cultural Center.

    Claymores are half-humans, half-demons who willingly transformed themselves by mixing their blood with monster's blood. Claire, nicknamed silver-eyed killer, is such a powerful Claymore, she can slay a Yoma using only one hand. But she must constantly struggle to keep from becoming a monster herself.

    And now the badass champion of adult fantasy manga is presented in an oversized 7" x 10" deluxe hardcover edition, nearly 700 pages amassing the first three Berserk volumes, with following volumes to come to serve up the entire series in handsome bookshelf collections. No Guts, no glory!

    Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analyze sample datasets and write simple machine learning algorithms. "Machine Learning for Hackers" is ideal for programmers from any background, including business, government, and academic research.Develop a naive Bayesian classifier to determine if an email is spam, based only on its textUse linear regression to predict the number of page views for the top 1,000 websitesLearn optimization techniques by attempting to break a simple letter cipherCompare and contrast U.S. Senators statistically, based on their voting recordsBuild a "whom to follow" recommendation system from Twitter data

    It allows one to gain information by discarding information, namely, the individuality of the observations. Stigler s second pillar, information measurement, challenges the importance of big data by noting that observations are not all equally important: the amount of information in a data set is often proportional to only the square root of the number of observations, not the absolute number. The third idea is likelihood, the calibration of inferences with the use of probability. Intercomparison is the principle that statistical comparisons do not need to be made with respect to an external standard. The fifth pillar is regression, both a paradox (tall parents on average produce shorter children; tall children on average have shorter parents) and the basis of inference, including Bayesian inference and causal reasoning. The sixth concept captures the importance of experimental design for example, by recognizing the gains to be had from a combinatorial approach with rigorous randomization. The seventh idea is the residual the notion that a complicated phenomenon can be simplified by subtracting the effect of known causes, leaving a residual phenomenon that can be explained more easily.The Seven Pillars of Statistical Wisdom presents an original, unified account of statistical science that will fascinate the interested layperson and engage the professional statistician."

    In 1989, a prescient Chris Oliveros created D+Q with a simple mandate to publish the worlds best cartoonists. Thanks to his taste-making visual acumen and the support of over fifty cartoonists from the past two decades, D+Q has grown from an annual stapled anthology into one of the world's leading graphic novel publishers. With hundreds of pages of comics by Drawn & Quarterly cartoonists, D+Q: 25 features new work by Kate Beaton, Chester Brown, Michael DeForge, Tom Gauld, Miriam Katin, Rutu Modan, James Sturm, Jillian Tamaki, Yoshihiro Tatsumi alongside rare and never-before-seen work from Guy Delisle, Debbie Drechsler, Julie Doucet, John Porcellino, Art Spiegelman, and Adrian Tomine, and a cover by Tom Gauld. Editor Tom Devlin digs into the company archives for rare photographs, correspondence, and comics; assembles biographies, personal reminiscences, and interviews with key D+Q staff; and curates essays by Margaret Atwood, Sheila Heti, Jonathan Lethem, Deb Olin Unferth, Heather O'Neill, Lemony Snicket, Chris Ware, and noted comics scholars.D+Q: 25 is the rare chance to witness a literary movement in progress; how a group of dedicated artists and their publisher changed the future of a century-old medium.

    In-depth explorations of the derivative, the differentiation and integration of the powers of x, and theorems on differentiation and antidifferentiation lead to a definition of the chain rule and examinations of trigonometric functions, logarithmic and exponential functions, techniques of integration, polar coordinates, much more. Clear-cut explanations, numerous drills, illustrative examples. 1967 edition. Solution guide available upon request.

    But all that changes when he finds the Death Note , a notebook dropped by a rogue Shinigami death god. Any human whose name is written in the notebook dies, and now Light has vowed to use the power of the Death Note to rid the world of evil. But when criminals begin dropping dead, the authorities send the legendary detective L to track down the killer. With L hot on his heels, will Light lose sight of his noble goal...or his life?The Complete Box SetStory by Tsugumi OhbaArt by Takeshi ObataIncludes:Manga Volumes 1–12Death Note 13: How to ReadA "How to Use It" fold-out