This is a handy book for learning to spot common errors in reasoning.- For ages twelve through adult.- Fun to use -- learn skills you can use right away.- Peanuts, Dilbert, and Calvin and Hobbes cartoons.- Includes The Fallacy Detective Game.- Exercises with answer key.

    This is done in a way that is not only easy to understand, but is actually fun! Professors and engineers, with high school and college students following closely, comprise the largest percentage of our readers. It is a must-have for anyone interested in music, mathematics, physics, engineering, or complex science. Dr. Yoichiro Nambu, 2008 Nobel Prize Winner in Physics, served as a senior adviser to the English version of Who is Fourier? A Mathematical Adventure.

    Do you have any idea what animal can paint a recognizable figure on a canvass using a paintbrush? Do you know of any animal that can teach themselves how to open canned food? How about those that can play computer games, solve math problems and logical puzzles just like humans…or even better than humans? The fun does not stop there.Any idea what animal has razor sharp memory that can recognize the meaning of a word or a face from years ago? And of course there is the animal that communicates by singing lengthy songs. If another animal of the same species hears the song, it will repeat the exact same song as a response! And speaking of songs, let’s not forget the animal who can sing lullabies while nursing her young. This Book Has Amazing Facts & Photos of 15 Incredibly Smart Animals. For centuries, understanding how animals act and think has always been a very intriguing topic for scientists. After all, though humans are branded to be the most intelligent species on the planet, it is undeniable that our fellow occupants in the animal kingdom have their own fascinating brainpower, instincts and unique survival tactics to boast. Just as humans have a unique way to communicate; other creatures have also forged special ways to understand each other and to respond to their environments. Scientists did countless laboratory experiments to capture not just their communicating abilities but also their feelings and emotions, learning processes, memory capacity, and their ability to use tools or even to pick up a foreign language.This book is fully illustrated and has simple blocks of text that will make learning fun for your child.The following animals are featured: Spiders Ants Sea Lions Crows Raccoons Horses Falcons Cats Squirrels Elephants Dogs Whales Dolphins Pigs Chimpanzees Yours kids can have fun while learning!Prepare to learn the most astonishing facts about how these animals stand out from the rest in terms of intelligence.This book is part of a series called, "Weird & Wonderful Animals" all of which are great for bedtime reading. Collect the series!

    Includes many examples and figures. GENERAL TOPOLOGY. Set Theory and Logic. Topological Spaces and Continuous Functions. Connectedness and Compactness. Countability and Separation Axioms. The Tychonoff Theorem. Metrization Theorems and paracompactness. Complete Metric Spaces and Function Spaces. Baire Spaces and Dimension Theory. ALGEBRAIC TOPOLOGY. The Fundamental Group. Separation Theorems. The Seifert-van Kampen Theorem. Classification of Surfaces. Classification of Covering Spaces. Applications to Group Theory. For anyone needing a basic, thorough, introduction to general and algebraic topology and its applications.

    All things are possible, only one thing actually happens; everything else is in the realm of probability. The twin disciplines of probability and statistics underpin every modern science and sketch the shape of all purposeful group activity- politics, economics, medicine, law, sports-giving humans a handle on the essential uncertainty of their existence. Yet while we are all aware of the hard facts, most of us still refuse to take account of probability-preferring to drive, not fly; buying into market blips; smoking cigarettes; denying we will ever age. There are some people, though-gamblers, risk buyers, forensic experts, doctors, strategists- who find probability's mass of incomplete uncertainties delightful and revelatory. "Chances Are" is their story. Combining philosophical and historical background with portraits of the men and women who command the forces of probability, this engaging, wide-ranging, and clearly written volume will be welcomed not only by the proven audiences for popular books like "E=MC2" and "The Golden Ratio" but by anyone interested in the workings of fate.

    From Simon & Schuster, This Book Needs No Title is Raymond Smullyan's budget of living paradoxes—the author of What is the Name of This Book?Including eighty paradoxes, logical labyrinths, and intriguing enigmas progress from light fables and fancies to challenging Zen exercises and a novella and probe the timeless questions of philosophy and life.

    Now if the sitting king learns of his secret, it will mean death for David and everyone in his family. David's secret destiny becomes more complicated when he falls in love with King Saul's daughter, Michal. He will do whatever it takes to secure her heart, provided she doesn't find out that David is the rumored rival to her father's throne. Now that Michal is of age, the Queen determines her daughter must be married as soon as possible. Michal resigns herself to a pre-arranged marriage with a man she does not love. Then by fate or God's providence she meets the handsome, young lyre player standing outside her father's chambers. One lives in a palace; the other sleeps under the stars. Though they come from vastly different worlds, Michal and David are drawn together. When King Saul uncovers David's secret and vows to kill him, Michal is torn between her love for her father and feelings for David. Two kings, two men she deeply loves but for different reasons — one heart broken in two.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Even the simplest system of cause and effect can be subject to chaos, denying us accurate predictions of its behaviour, and sometimes giving rise to astonishing structures of large-scale order. Our growing understanding of Chaos Theory is having fascinating applications in the real world - from technology to global warming, politics, human behaviour, and even gambling on the stock market. Leonard Smith shows that we all have an intuitive understanding of chaotic systems. He uses accessible maths and physics (replacing complex equations with simple examples like pendulums, railway lines, and tossing coins) to explain the theory, and points to numerous examples in philosophy and literature (Edgar Allen Poe, Chang-Tzu, Arthur Conan Doyle) that illuminate the problems. The beauty of fractal patterns and their relation to chaos, as well as the history of chaos, and its uses in the real world and implications for the philosophy of science are all discussed in this Very Short Introduction.

    It proceeds from familiar concepts to the unfamiliar, from the concrete to the abstract. Readers consistently praise this outstanding text for its expository style and clarity of presentation. The applications version features a wide variety of interesting, contemporary applications. Clear, accessible, step-by-step explanations make the material crystal clear. Established the intricate thread of relationships between systems of equations, matrices, determinants, vectors, linear transformations and eigenvalues.

    The Fourth Edition builds on this strength with new examples, additional applications and increased cryptology coverage. Up-to-date information on the latest discoveries is included.Elementary Number Theory and Its Applications provides a diverse group of exercises, including basic exercises designed to help students develop skills, challenging exercises and computer projects. In addition to years of use and professor feedback, the fourth edition of this text has been thoroughly accuracy checked to ensure the quality of the mathematical content and the exercises.

    That’s until … Big Blub shows up!Goodnight Already! artist Benji Davies creates a beautiful story about a small tadpole who must grow her hind legs, breathe through her gills, and learn how to face things that are sometimes scary. Tad will leave young readers rooting her on as she discovers that sometimes the mightiest creature comes in the smallest package.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    One minute Danny was running from the cops, and the next, he jolted awake in an unfamiliar body - his own, but different. Somehow, he's crossed into a parallel universe. Now his friends are his enemies, his parents are long dead, and studious Eevee is not the mysterious femme fatale he once kissed back home. Then again, this Eevee - a girl who'd rather land an internship at NASA than a date to the prom--may be his only hope of getting home. Eevee tells herself she's only helping him in the name of quantum physics, but there's something undeniably fascinating about this boy from another dimension... a boy who makes her question who she is, and who she might be in another place and time.

    Issued with the full endorsement and cooperation of the Audubon Society, the stunning Baby Elephant Folio—here reproduced in a miniature, gem-like version—was the first work ever to arrange Audubon's plates in scientific order.