When you have magic on your side, anything is possible. At least that’s what Ephraim Scott thinks when he first discovers the unusual coin that grants his wishes. With it Ephraim overhauls his troubled home life and also his nonexistent love life. He even tries to help his friends with their problems. But every wish comes with a twist. Each flip of the coin gives Ephraim what he wants, but bad things happen too--ripples of dark consequences he doesn’t intend and can’t predict. The more Ephraim tries to fix the situation, the worse it gets. The people closest to him are changing in terrible ways and Ephraim must figure out how to harness the coin’s power before anyone gets hurt...or worse. Fair Coin is the winner of the 2012 Andre Norton Award and was a finalist for both the 2013 British Fantasy Award and the 2013 Compton Crook Award.

The two volume-set, LNCS 8042 and LNCS 8043, constitutes the refereed proceedings of the 33rd Annual International Cryptology Conference, CRYPTO 2013, held in Santa Barbara, CA, USA, in August 2013. The 61 revised full papers presented in LNCS 8042 and LNCS 8043 were carefully reviewed and selected from numerous submissions. Two abstracts of the invited talks are also included in the proceedings. The papers are organized in topical sections on lattices and FHE; foundations of hardness; cryptanalysis; MPC - new directions; leakage resilience; symmetric encryption and PRFs; key exchange; multi linear maps; ideal ciphers; implementation-oriented protocols; number-theoretic hardness; MPC - foundations; codes and secret sharing; signatures and authentication; quantum security; new primitives; and functional encryption.

The coin toss is really just a metaphor for a random event that has only two possible outcomes. The actual tossing of a real coin is just one way to realize such an event. There are many examples of questions that are equivalent to a coin toss. For example: Will the stock market close up or down tomorrow? Will a die roll come up with an even or odd number? Will we make contact with extraterrestrials within the next ten years? Will a car drive by in the next minute? Will tomorrow be sunny or cloudy? Will my medical test result be negative or positive? Will I enjoy this movie? Will the next joke be funny? Will the Earth's average temperature go up next year?Because a coin toss is equivalent to such a wide variety of questions, the results in this book are widely applicable.Because the coin toss is the simplest random event you can imagine, many questions about coin tossing can be asked and answered in great depth. The simplicity of the coin toss also opens the road to more advanced probability theories dealing with events with an infinite number of possible outcomes.This book is very mathematical. Some knowledge of calculus, discrete math, and generating functions is helpful to get the most out of it. A review of discrete math is provided in the index,

The sequel to the exciting adventure spun across parallel worlds! Ephraim thought his universe-hopping days were over. He's done wishing for magic solutions to his problems; his quantum coin has been powerless for almost a year, and he's settled into a normal life with his girlfriend, Jena. But then an old friend crashes their senior prom: Zoe, Jena's identical twin from a parallel world. Zoe's timing couldn't be worse. It turns out that Ephraim's problems have just begun, and they're much more complicated than his love life. The multiverse is at stake - and it might just be Ephraim's fault. Ephraim, Jena, and Zoe embark on a mission across multiple worlds to learn what's going wrong and how to stop it. They will have to draw on every resource available and trust in alternate versions of themselves and their friends before it's too late for all of them. If Ephraim and his companions can put their many differences aside and learn to work together, they might have a chance to save the multiverse. But ultimately, the solution may depend on how much they're willing to sacrifice for the sake of humanity . . . and each other. From the Hardcover edition.

A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math. Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs and generating news articles to helping doctors provide healthcare. Deep learning is the source of many of these breakthroughs, and its remarkable ability to find patterns hiding in data has made it the fastest growing field in artificial intelligence (AI). Digital assistants on our phones use deep learning to understand and respond intelligently to voice commands; automotive systems use it to safely navigate road hazards; online platforms use it to deliver personalized suggestions for movies and books - the possibilities are endless. Deep Learning: A Visual Approach is for anyone who wants to understand this fascinating field in depth, but without any of the advanced math and programming usually required to grasp its internals. If you want to know how these tools work, and use them yourself, the answers are all within these pages. And, if you're ready to write your own programs, there are also plenty of supplemental Python notebooks in the accompanying Github repository to get you going. The book's conversational style, extensive color illustrations, illuminating analogies, and real-world examples expertly explain the key concepts in deep learning, including: • How text generators create novel stories and articles • How deep learning systems learn to play and win at human games • How image classification systems identify objects or people in a photo • How to think about probabilities in a way that's useful to everyday life • How to use the machine learning techniques that form the core of modern AI Intellectual adventurers of all kinds can use the powerful ideas covered in Deep Learning: A Visual Approach to build intelligent systems that help us better understand the world and everyone who lives in it. It's the future of AI, and this book allows you to fully envision it. Full Color Illustrations

New and thoroughly updated, Epistemology: An Anthology continues to represent the most comprehensive and authoritative collection of canonical readings in the theory of knowledge. Concentrates on the central topics of the field, such as skepticism and the Pyrrhonian problematic, the definition of knowledge, and the structure of epistemic justification Offers coverage of more specific topics, such as foundationalism vs coherentism, and virtue epistemology Presents wholly new sections on 'Testimony, Memory, and Perception' and 'The Value of Knowledge' Features modified sections on 'The Structure of Knowledge and Justification', 'The Non-Epistemic in Epistemology', and 'The Nature of the Epistemic' Includes many of the most important contributions made in recent decades by several outstanding authors

There's nothing random about it—this is the book on statistical analysis with Excel Stunned by statistics? Exhausted by Excel? Relax! Statistical Analysis with Excel For Dummies, 4th Edition shows you how to use the world's most popular spreadsheet program to crunch numbers and interpret statistics—even if you've never taken a statistics or advanced math course. In no time, you'll learn to use Excel to create and translate statistics in everyday life, understand common statistical terms, and improve your classroom or professional skills. Statistics has a reputation for being a challenging, math-intensive pursuit—but it doesn't have to make your palms sweat. Using a minimum of equations and assuming no prior knowledge of statistics or Excel, this hands-on guide cuts through the jargon and shows you how to make sense of formulas and functions, charts and PivotTables, samples and normal distributions, probabilities and related distributions, trends and correlations, and much more. Use Excel's tools to analyze and understand data Apply statistical analysis to predict trends and make decisions Interpret sales figures, gambling odds, and sports stats Develop a grading curve or medical correlations Forget the mumbo jumbo! This guide shows you that statistical analysis with Excel can be easy, fun, and useful!

Introductory Statistics for Psychology: The Logic and the Methods presents the concepts of experimental design that are carefully interwoven with the statistical material. This book emphasizes the verbalization of conclusions to experiments, which is another means of communicating the reasons for statistical analyses. Organized into 17 chapters, this book begins with an overview of alternative ways of stating the conclusions from a significant interaction. This text then presents the analysis of variance and introduces the summation sign and its use. Other chapters consider frequency distribution as any presentation of data that offers the frequency with which each score occurs. This book discusses as well the differences in and among people, which are a constant source of variability in test scores, and in most other measurements of people. The final chapter deals with the working knowledge of arithmetic and elementary algebra. This book is a valuable resource for students and psychologists.

This book explores why, regarding practical reasoning, humans are sometimes still faster than artificial intelligence systems. It is the first to offer a self-contained presentation of neural network models for many computer science logics.