This book provides an introduction to the field of solid state physics for undergraduate students in physics, chemistry, engineering, and materials science.

    Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

    Mitchell covers the field of machine learning, the study of algorithms that allow computer programs to automatically improve through experience and that automatically infer general laws from specific data.

    Topics are broken down into three major conceptual pieces: Virtualization, Concurrency, and Persistence. Includes all major components of modern systems including scheduling, virtual memory management, disk subsystems and I/O, file systems, and even a short introduction to distributed systems.

    Since the publication of the First Edition over thirty years ago, Div, Grad, Curl, and All That has been widely renowned for its clear and concise coverage of vector calculus, helping science and engineering students gain a thorough understanding of gradient, curl, and Laplacian operators without required knowledge of advanced mathematics.

    It reveals the attraction that has drawn leading mathematicians and amateurs alike to number theory over the course of history.

    A basic idea that proved elusive for hundreds of years and bent the minds of the greatest thinkers in the world, the algorithm is what made the modern world possible. Without the algorithm, there would have been no computer, no Internet, no virtual reality, no e-mail, or any other technological advance that we rely on every day.In The Advent of the Algorithm, David Berlinski combines science, history, and math to explain and explore the intriguing story of how the algorithm was finally discovered by a succession of mathematicians and logicians, and how this paved the way for the digital age. Beginning with Leibniz and culminating in the middle of the twentieth century with the groundbreaking work of Gödel and Turing, The Advent of the Algorithm is an epic tale told with clarity and imaginative brilliance.

    Intended for professional development programs in introductory database management.

    Long before the advent of computers, human beings were collecting, storing, and organizing information: from Ice Age taxonomies to Sumerian archives, Greek libraries to Dark Age monasteries.Today, we stand at a precipice, as our old systems struggle to cope with what designer Richard Saul Wurman called a "tsunami of data." With some historical perspective, however, we can begin to understand our predicament not just as the result of technological change, but as the latest chapter in an ancient story that we are only beginning to understand.Spanning disciplines from evolutionary theory and cultural anthropology to the history of books, libraries, and computer science, writer and information architect Alex Wright weaves an intriguing narrative that connects such seemingly far-flung topics as insect colonies, Stone Age jewelry, medieval monasteries, Renaissance encyclopedias, early computer networks, and the World Wide Web. Finally, he pulls these threads together to reach a surprising conclusion, suggesting that the future of the information age may lie deep in our cultural past.

    Beaten and tortured by a violent alcoholic father in 70s' poverty-stricken Dundee, Charlie's early life was one of poverty and misery, but at least he had his best friend Bonnie a German shepherd puppy to turn to. Charlie lives with Jock, his violent, disturbed, alcoholic father in a Dundee tenement. Money is scarce, and Jock's love of vodka means that Charlie bears the brunt of his abuse. Often too bruised to go to school, Charlie lives in constant fear of Jock's next outburst. Subjected to hours of physical and mental torture, Charlie can only think of killing his dad. The only thing Charlie can rely on is Bonnie, a German Shepherd puppy, brought home to keep Charlie company while Jock goes out on his drinking sessions. But even Bonnie doesn't escape Jock's brutality.Please Don’t Hurt Me, Dad is an evocative portrait of seventies and eighties working-class Dundee, where everyone is on the dole, alcoholism is rife and most people have illegal jobs on the side.Somehow Charlie escaped from the everyday struggle for survival. Bonnie wasn't so lucky. Charlie's way out came in the form of a beautiful young woman who became the love of his life and his saviour.

    Missile trajectories. Cornering dynamics in speeding cars. By applying the laws of physics, you can realistically model nearly everything in games that bounces around, flies, rolls, slides, or isn't sitting still, to create compelling, believable content for computer games, simulations, and animation. "Physics for Game Developers" serves as the starting point for those who want to enrich games with physics-based realism.Part one is a mechanics primer that reviews basic concepts and addresses aspects of rigid body dynamics, including kinematics, force, and kinetics. Part two applies these concepts to specific real-world problems, such as projectiles, boats, airplanes, and cars. Part three introduces real-time simulations and shows how they apply to computer games. Many specific game elements stand to benefit from the use of real physics, including: The trajectory of rockets and missiles, including the effects of fuel burn offThe collision of objects such as billiard ballsThe stability of cars racing around tight curvesThe dynamics of boats and other waterborne vehiclesThe flight path of a baseball after being struck by a batThe flight characteristics of airplanesYou don't need to be a physics expert to learn from "Physics for Game Developers, " but the author does assume you know basic college-level classical physics. You should also be proficient in trigonometry, vector and matrix math (reference formulas and identities are included in the appendixes), and college-level calculus, including integration and differentiation of explicit functions. Although the thrust of the book involves physics principles and algorithms, it should be noted that the examples are written in standard C and use Windows API functions.

    Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.

    Kevin Mitnick's last book sold 40,000 units in North America.As the clich� goes, information is power. In this age of technology, an increasing majority of the world's information is stored electronically. It makes sense then that we rely on high-tech electronic protection systems to guard that information. As professional hackers, Johnny Long and Kevin Mitnick get paid to uncover weaknesses in those systems and exploit them. Whether breaking into buildings or slipping past industrial-grade firewalls, their goal has always been the same: extract the information using any means necessary. After hundreds of jobs, they have discovered the secrets to bypassing every conceivable high-tech security system. This book reveals those secrets; as the title suggests, it has nothing to do with high technology.

    Swift builds on the best of C and Objective-C, without the constraints of C compatibility. Swift adopts safe programming patterns and adds modern features to make programming easier, more flexible, and more fun. Swift’s clean slate, backed by the mature and much-loved Cocoa and Cocoa Touch frameworks, is an opportunity to reimagine how software development works.

    The material is reinforced with numerous examples to illustrate principles and imaginative, well-illustrated problems of varying degrees of difficulty. The book is committed to developing users' problem-solving skills. Features new "Photorealistc" figures (approximately 400) that have been rendered in often 3D photo quality detail to appeal to visual learners. Presents a thorough combination of both static and dynamic engineering mechanics theory and applications. Features a large variety of problem types from a broad range of engineering disciplines, stressing practical, realistic situations encountered in professional practice, varying levels of difficulty, and problems that involve solution by computer. For professionals in mechanical engineering, civil engineering, aeronautical engineering, and engineering mechanics careers.