For the calculus-based General Physics course primarily taken by engineers and scientists.

    The following day, her story began appearing in Irish papers and soon after was splashed across the front page of the London Times, complete with a photo of Sarah and a caption calling her "brilliant." Just sixteen, she was a mathematician with an international reputation. IN CODE is a heartwarming story that will have readers cheering Sarah on. Originally published in England and cowritten with her mathematician father, David Flannery, IN CODE is "a wonderfully moving story about the thrill of the mathematical chase" (Nature) and "a paean to intellectual adventure" (Times Educational Supplement). A memoir in mathematics, it is all about how a girl next door, nurtured by her family, moved from the simple math puzzles that were the staple of dinnertime conversation to prime numbers, the Sieve of Eratosthenes, Fermat's Little Theorem, googols-and finally into her breathtaking algorithm. Parallel with each step is a modest girl's own self-discovery-her values, her burning curiosity, the joy of persistence, and, above all, her love for her family.

    That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss aside our fears and learn to approach them clearly—understanding how our own preconceptions lead us astray—statistics can point to ways we can live better and work smarter.As “perhaps the best popular economics writer in the world” (New Statesman), Tim Harford is an expert at taking complicated ideas and untangling them for millions of readers. In The Data Detective, he uses new research in science and psychology to set out ten strategies for using statistics to erase our biases and replace them with new ideas that use virtues like patience, curiosity, and good sense to better understand ourselves and the world. As a result, The Data Detective is a big-idea book about statistics and human behavior that is fresh, unexpected, and insightful.

    The more than 1,200 color photographs and two dozen line drawings include numerous exceptionally striking images. The giant silk moths, tiger moths, and many other species covered include forest pests, common garden guests, economically important species, and of course, the Mescal Worm and Mexican Jumping Bean caterpillars. Full-page species accounts cover almost 400 species, with up to six images per species including an image of the adult plus succinct text with information on distribution, seasonal activity, foodplants, and life history. These accounts are generously complemented with additional images of earlier instars, closely related species, noteworthy behaviors, and other intriguing aspects of caterpillar biology.Many caterpillars are illustrated here for the first time. Dozens of new foodplant records are presented and erroneous records are corrected. The book provides considerable information on the distribution, biology, and taxonomy of caterpillars beyond that available in other popular works on Eastern butterflies and moths. The introductory chapter covers caterpillar structure, life cycles, rearing, natural enemies, photography, and conservation. The section titled Caterpillar Projects will be of special interest to educators.Given the dearth of accessible guides on the identification and natural history of caterpillars, Caterpillars of Eastern North America is a must for entomologists and museum curators, forest managers, conservation biologists and others who seek a compact, easy-to-use guide to the caterpillars of this vast region. A compact guide to nearly 700 caterpillars east of the Mississippi, from forest pests to garden guests and economically important species 1,200 color photos and 24 line drawings enable easy identification Full-page species accounts with image of adult insect for almost 400 species, plus succinct text on distribution and other vital information Many caterpillars illustrated here for the first time Current information on distribution, biology, and taxonomy not found in other popular works A section geared toward educators, Caterpillar Projects An indispensable resource for all who seek an easy-to-use guide to the caterpillars of this vast region

    How to make sense of them? The answer lies in mathematical modeling, a science with applications in a host of biological systems. Soccermatics brings the two together in a fascinating, mind-bending synthesis.What's the similarity between an ant colony and Total Football, Dutch style? How is the Barcelona midfield linked geometrically? And how can we relate the mechanics of a Mexican Wave to the singing of cicadas in an Australian valley? Welcome to the world of mathematical modeling, expressed brilliantly by David Sumpter through the prism of soccer. Soccer is indeed more than a game and this book is packed with game theory. After reading it, you will forever watch the game with new eyes.

    Peter Bernstein has written a comprehensive history of man's efforts to understand risk and probability, beginning with early gamblers in ancient Greece, continuing through the 17th-century French mathematicians Pascal and Fermat and up to modern chaos theory. Along the way he demonstrates that understanding risk underlies everything from game theory to bridge-building to winemaking.

    This easy-to-use guide is updated and expanded to include new computer and technology signs and offers a fast and simple approach to learning. Includes:- Vocabulary reviews- Fingerspelling exercises- Sign matching and memory aids- A complete glossary and a comprehensive index- Clear instructive drawings

    It is the technology behind photo tagging systems at Facebook and Google, self-driving cars, speech recognition systems on your smartphone, and much more.In particular, Deep learning excels at solving machine perception problems: understanding the content of image data, video data, or sound data. Here's a simple example: say you have a large collection of images, and that you want tags associated with each image, for example, "dog," "cat," etc. Deep learning can allow you to create a system that understands how to map such tags to images, learning only from examples. This system can then be applied to new images, automating the task of photo tagging. A deep learning model only has to be fed examples of a task to start generating useful results on new data.

    Best of all, it fits in your shirt pocket! (3.2" x 5.4" x 0.7")The following chapters are contained in Pocket Ref: -- Air-- Automotive-- Carpentry & Construction-- Chemistry & Physics-- Computers-- Constants-Physical-- Electrical-- Electronics-- General Information-- General Science-- Geology-- Glues, Solvents & Paints-- Hardware-- Math-- Mining & Milling-- Money-- Plumbing & Pipe-- Rope, Cable & Chain-- Steel & Metals-- Surveying & Mapping-- Tools-- Water-- Weights of Materials-- Welding-- 3500 Conversion Factors - Perpetual Calendar - Note Pages with Metric/US Rulers-- Detailed IndexNew sections included in the second edition-- Dry air Specific Heat & Sound Velocity at Various Temperatures & Pressures-- Wood Beam Strength for 76 species of wood-- Max Floor Joist Spans for 21 wood species, 3 grades & 7 load ratings-- Galvanic Series of Metals in Sea Water-- World Wide Telephone Area Codes & International Access Codes-- North American Top 400 airports with elevation, name, code and area population-- Capacities of Hydraulic Rams from 1" to 60"-- Force Required to Punch 10 different metal types at thicknesses from 1/16" to 1-1/4"-- Friction/Head Loss for 38 types of pipe with flow rates from 0.5 to 5000 gpm-- Perpetual Calendar with holidays for all years from 1858 to 2025

    The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. This edition places more emphasis on conceptual understanding and understanding results. This edition also features increased emphasis on Excel, MINITAB, and the TI-83 Plus and TI 84-Plus graphing calculators, computing technologies commonly used in such courses.

    The new edition provides invitations - not requirements - to use technology, as well as new conceptual problems, and new projects that focus on writing and working in teams.

    This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.

    One of the most influential figures of the twentieth century, he transformed philosophy and can lay claim to being one of the greatest philosophers of all time. He was a Nobel Prize winner for Literature and was imprisoned several times as a result of his pacifism. His views on religion, education, sex, politics and many other topics, made him one of the most read and revered writers of the age. This, his autobiography, is one of the most compelling and vivid ever written. This one-volume, compact paperback edition contains an introduction by the politician and scholar, Michael Foot, which explores the status of this classic nearly 30 years after the publication of the final volume.

    Drawing on his experience as a medical researcher, Vickers blends insightful explanations and humor, with minimal math, to help readers understand and interpret the statistics they read every day. Describing data; Data distributions; Variation of study results: confidence intervals; Hypothesis testing; Regression and decision making; Some common statistical errors, and what they teach us For all readers interested in statistics.

    The R language is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply many statistical techniques that would be impossible without such software to help implement such large data sets.