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| computer science uc davis major: Python Programming John M. Zelle, 2004 This book is suitable for use in a university-level first course in computing (CS1), as well as the increasingly popular course known as CS0. It is difficult for many students to master basic concepts in computer science and programming. A large portion of the confusion can be blamed on the complexity of the tools and materials that are traditionally used to teach CS1 and CS2. This textbook was written with a single overarching goal: to present the core concepts of computer science as simply as possible without being simplistic. |
| computer science uc davis major: Discovering Computer Science Jessen Havill, 2020-10-12 Havill's problem-driven approach introduces algorithmic concepts in context and motivates students with a wide range of interests and backgrounds. -- Janet Davis, Associate Professor and Microsoft Chair of Computer Science, Whitman College This book looks really great and takes exactly the approach I think should be used for a CS 1 course. I think it really fills a need in the textbook landscape. -- Marie desJardins, Dean of the College of Organizational, Computational, and Information Sciences, Simmons University Discovering Computer Science is a refreshing departure from introductory programming texts, offering students a much more sincere introduction to the breadth and complexity of this ever-growing field. -- James Deverick, Senior Lecturer, The College of William and Mary This unique introduction to the science of computing guides students through broad and universal approaches to problem solving in a variety of contexts and their ultimate implementation as computer programs. -- Daniel Kaplan, DeWitt Wallace Professor, Macalester College Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming is a problem-oriented introduction to computational problem solving and programming in Python, appropriate for a first course for computer science majors, a more targeted disciplinary computing course or, at a slower pace, any introductory computer science course for a general audience. Realizing that an organization around language features only resonates with a narrow audience, this textbook instead connects programming to students’ prior interests using a range of authentic problems from the natural and social sciences and the digital humanities. The presentation begins with an introduction to the problem-solving process, contextualizing programming as an essential component. Then, as the book progresses, each chapter guides students through solutions to increasingly complex problems, using a spiral approach to introduce Python language features. The text also places programming in the context of fundamental computer science principles, such as abstraction, efficiency, testing, and algorithmic techniques, offering glimpses of topics that are traditionally put off until later courses. This book contains 30 well-developed independent projects that encourage students to explore questions across disciplinary boundaries, over 750 homework exercises, and 300 integrated reflection questions engage students in problem solving and active reading. The accompanying website — https://www.discoveringcs.net — includes more advanced content, solutions to selected exercises, sample code and data files, and pointers for further exploration. |
| computer science uc davis major: Information Security Illuminated Michael G. Solomon, Mike Chapple, 2004-12-09 A comprehensive survey of the most current and critical information security practices, Information Security Illuminated is an excellent introduction to the fundamental concepts and applications for students and professionals alike. Key security concepts are discussed with clear, accessible language and reinforced by a large number of scenario-based exercises and practical review questions. Readers are then able to apply their knowledge through hands-on experience with computer security-related tools. Coverage begins with the basics of computer security (CIA and DAD triads, risk analysis, etc.), and moves quickly through to important, real-world topics such as access control methodologies, security principles and practices, business continuity planning and disaster recovery, firewalls, incident handling, and much more. In addition to providing the requisite material for a complete course in information security practices, the book can be used as a self-study guide for many of the basic security certifications. |
| computer science uc davis major: Performance Tuning of Scientific Applications David H. Bailey, Robert F. Lucas, Samuel Williams, 2010-11-23 With contributions from some of the most notable experts in the field, Performance Tuning of Scientific Applications presents current research in performance analysis. The book focuses on the following areas.Performance monitoring: Describes the state of the art in hardware and software tools that are commonly used for monitoring and measuring perf |
| computer science uc davis major: The Myths of Security John Viega, 2009-06-19 Security. |
| computer science uc davis major: Introduction to Modern Cryptography Jonathan Katz, Yehuda Lindell, 2020-12-21 Now the most used texbook for introductory cryptography courses in both mathematics and computer science, the Third Edition builds upon previous editions by offering several new sections, topics, and exercises. The authors present the core principles of modern cryptography, with emphasis on formal definitions, rigorous proofs of security. |
| computer science uc davis major: Principles of Computer Systems Gerald M. Karam, John C. Bryant, 1992 Describes computer system concepts in simple terms and offers information on how the low-level, compiler/interpreter activities of computers - arithmetic, I/O, array processing, character strings functions - are performed. A fictitious computer (CUSP), is used to exemplify the concepts discussed. |
| computer science uc davis major: Grape Pest Management, Third Edition LARRY J. BETTIGA, 2013-11-15 In the much anticipated 3rd edition of Grape Pest Management, more than 70 research scientists, cooperative extension advisors and specialists, growers, and pest control advisers have consolidated the latest scientific studies and research into one handy reference. The result is a comprehensive, easy-to-read pest management tool. The new edition, the first in over a decade, includes several new invasive species that are now major pests. It also reflects an improved understanding among researchers, farmers, and growers about the biology of pests. With nine expansive chapters, helpful, colorful photos throughout, here’s more of what you’ll find: •Diagnostic techniques for identifying vineyard problems •Detailed descriptions of more than a dozen diseases •Comprehensive, illustrated listings of insect and mite pests,including the recently emerging glassy winged sharpshooter and Virginia creeper leaf-hopper •Regional calendars of events for viticultural management •Up-to-date strategies for vegetation management |
| computer science uc davis major: Interaction Design Jenny Preece, Yvonne Rogers, Helen Sharp, 2002-02-08 The authors present an up-to-date exposition of the design of the current and next generation interactive technologies, such as the Web, mobiles and wearables. |
| computer science uc davis major: R and MATLAB David E. Hiebeler, 2018-09-03 The First Book to Explain How a User of R or MATLAB Can Benefit from the Other In today’s increasingly interdisciplinary world, R and MATLAB® users from different backgrounds must often work together and share code. R and MATLAB® is designed for users who already know R or MATLAB and now need to learn the other platform. The book makes the transition from one platform to the other as quick and painless as possible. Enables R and MATLAB Users to Easily Collaborate and Share Code The author covers essential tasks, such as working with matrices and vectors, writing functions and other programming concepts, graphics, numerical computing, and file input/output. He highlights important differences between the two platforms and explores common mistakes that are easy to make when transitioning from one platform to the other. |
| computer science uc davis major: Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Computer Science and Telecommunications Board, Policy and Global Affairs, Board on Higher Education and Workforce, Committee on the Growth of Computer Science Undergraduate Enrollments, 2018-04-28 The field of computer science (CS) is currently experiencing a surge in undergraduate degree production and course enrollments, which is straining program resources at many institutions and causing concern among faculty and administrators about how best to respond to the rapidly growing demand. There is also significant interest about what this growth will mean for the future of CS programs, the role of computer science in academic institutions, the field as a whole, and U.S. society more broadly. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments seeks to provide a better understanding of the current trends in computing enrollments in the context of past trends. It examines drivers of the current enrollment surge, relationships between the surge and current and potential gains in diversity in the field, and the potential impacts of responses to the increased demand for computing in higher education, and it considers the likely effects of those responses on students, faculty, and institutions. This report provides recommendations for what institutions of higher education, government agencies, and the private sector can do to respond to the surge and plan for a strong and sustainable future for the field of CS in general, the health of the institutions of higher education, and the prosperity of the nation. |
| computer science uc davis major: The College Buzz Book , 2006-03-23 In this new edition, Vault publishes the entire surveys of current students and alumnni at more than 300 top undergraduate institutions, as well as the schools' responses to the comments. Each 4-to 5-page entry is composed of insider comments from students and alumni, as well as the schools' responses to the comments. |
| computer science uc davis major: Statistical Regression and Classification Norman Matloff, 2017-09-19 Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, presenting a contemporary treatment in line with today's applications and users. The text takes a modern look at regression: * A thorough treatment of classical linear and generalized linear models, supplemented with introductory material on machine learning methods. * Since classification is the focus of many contemporary applications, the book covers this topic in detail, especially the multiclass case. * In view of the voluminous nature of many modern datasets, there is a chapter on Big Data. * Has special Mathematical and Computational Complements sections at ends of chapters, and exercises are partitioned into Data, Math and Complements problems. * Instructors can tailor coverage for specific audiences such as majors in Statistics, Computer Science, or Economics. * More than 75 examples using real data. The book treats classical regression methods in an innovative, contemporary manner. Though some statistical learning methods are introduced, the primary methodology used is linear and generalized linear parametric models, covering both the Description and Prediction goals of regression methods. The author is just as interested in Description applications of regression, such as measuring the gender wage gap in Silicon Valley, as in forecasting tomorrow's demand for bike rentals. An entire chapter is devoted to measuring such effects, including discussion of Simpson's Paradox, multiple inference, and causation issues. Similarly, there is an entire chapter of parametric model fit, making use of both residual analysis and assessment via nonparametric analysis. Norman Matloff is a professor of computer science at the University of California, Davis, and was a founder of the Statistics Department at that institution. His current research focus is on recommender systems, and applications of regression methods to small area estimation and bias reduction in observational studies. He is on the editorial boards of the Journal of Statistical Computation and the R Journal. An award-winning teacher, he is the author of The Art of R Programming and Parallel Computation in Data Science: With Examples in R, C++ and CUDA. |
| computer science uc davis major: Computer Organization and Design RISC-V Edition David A. Patterson, John L. Hennessy, 2017-05-12 The new RISC-V Edition of Computer Organization and Design features the RISC-V open source instruction set architecture, the first open source architecture designed to be used in modern computing environments such as cloud computing, mobile devices, and other embedded systems. With the post-PC era now upon us, Computer Organization and Design moves forward to explore this generational change with examples, exercises, and material highlighting the emergence of mobile computing and the Cloud. Updated content featuring tablet computers, Cloud infrastructure, and the x86 (cloud computing) and ARM (mobile computing devices) architectures is included. An online companion Web site provides advanced content for further study, appendices, glossary, references, and recommended reading. - Features RISC-V, the first such architecture designed to be used in modern computing environments, such as cloud computing, mobile devices, and other embedded systems - Includes relevant examples, exercises, and material highlighting the emergence of mobile computing and the cloud |
| computer science uc davis major: UC Davis Tristen Chang, Laura Hardgrove, 2005 Provides a look at the University of California, Davis from the students' viewpoint. |
| computer science uc davis major: Funding a Revolution National Research Council, Computer Science and Telecommunications Board, Committee on Innovations in Computing and Communications: Lessons from History, 1999-02-11 The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it. |
| computer science uc davis major: How Wikipedia Works Phoebe Ayers, Charles Matthews, Ben Yates, 2008 Provides information on using and contributing to Wikipedia, covering such topics as evaluating the reliability of articles, editing existing articles, adding new articles, communiating with other users, and resolving content disputes. |
| computer science uc davis major: Navier-Stokes Turbulence Wolfgang Kollmann, 2019-11-21 The book serves as a core text for graduate courses in advanced fluid mechanics and applied science. It consists of two parts. The first provides an introduction and general theory of fully developed turbulence, where treatment of turbulence is based on the linear functional equation derived by E. Hopf governing the characteristic functional that determines the statistical properties of a turbulent flow. In this section, Professor Kollmann explains how the theory is built on divergence free Schauder bases for the phase space of the turbulent flow and the space of argument vector fields for the characteristic functional. Subsequent chapters are devoted to mapping methods, homogeneous turbulence based upon the hypotheses of Kolmogorov and Onsager, intermittency, structural features of turbulent shear flows and their recognition. |
| computer science uc davis major: Vuelta Andrés Reséndez, 2021 The story of an uncovered voyage as colorful and momentous as any on record for the Age of Discovery--and of the Black mariner whose stunning accomplishment has been until now lost to history It began with a secret mission, no expenses spared. Spain, plotting to break Portugal's monopoly trade with the fabled Orient, set sail from a hidden Mexican port to cross the Pacific--and then, critically, to attempt the never-before-accomplished return, the vuelta. Four ships set out from Navidad, each one carrying a dream team of navigators. The smallest ship, guided by seaman Lope Martín, a mulatto who had risen through the ranks to become one of the most qualified pilots of the era, soon pulled far ahead and became mysteriously lost from the fleet. It was the beginning of a voyage of epic scope, featuring mutiny, murderous encounters with Pacific islanders, astonishing physical hardships--and at last a triumphant return to the New World. But the pilot of the fleet's flagship, the Augustine friar mariner Andrés de Urdaneta, later caught up with Martín to achieve the vuelta as well. It was he who now basked in glory, while Lope Martín was secretly sentenced to be hanged by the Spanish crown as repayment for his services. Acclaimed historian Andrés Reséndez, through brilliant scholarship and riveting storytelling--including an astonishing outcome for the resilient Lope Martín--sets the record straight. |
| computer science uc davis major: The Ecological Detective Ray Hilborn, Marc Mangel, 1997-03-06 The book is not a set of pat statistical procedures but rather an approach. |
| computer science uc davis major: Interactive Data Visualization for the Web Scott Murray, 2013-03-15 Create and publish your own interactive data visualization projects on the Web, even if you have no experience with either web development or data visualization. It’s easy with this hands-on guide. You’ll start with an overview of data visualization concepts and simple web technologies, and then learn how to use D3, a JavaScript library that lets you express data as visual elements in a web page. Interactive Data Visualization for the Web makes these skills available at an introductory level for designers and visual artists without programming experience, journalists interested in the emerging data journalism processes, and others keenly interested in visualization and publicly available data sources. Get a practical introduction to data visualization, accessible for beginners Focus on web-based tools that help you publish your creations quickly to a wide audience Learn about interactivity so you can engage users in exploring your data |
| computer science uc davis major: The College Solution Lynn O'Shaughnessy, 2008-06-06 “The College Solution helps readers look beyond over-hyped admission rankings to discover schools that offer a quality education at affordable prices. Taking the guesswork out of saving and finding money for college, this is a practical and insightful must-have guide for every parent!” —Jaye J. Fenderson, Seventeen’s College Columnist and Author, Seventeen’s Guide to Getting into College “This book is a must read in an era of rising tuition and falling admission rates. O’Shaughnessy offers good advice with blessed clarity and brevity.” —Jay Mathews, Washington Post Education Writer and Columnist “I would recommend any parent of a college-bound student read The College Solution.” —Kal Chany, Author, The Princeton Review’s Paying for College Without Going Broke “The College Solution goes beyond other guidebooks in providing an abundance of information about how to afford college, in addition to how to approach the selection process by putting the student first.” —Martha “Marty” O’Connell, Executive Director, Colleges That Change Lives “Lynn O’Shaughnessy always focuses on what’s in the consumer’s best interest, telling families how to save money and avoid making costly mistakes.” —Mark Kantrowitz, Publisher, FinAid.org and Author, FastWeb College Gold “An antidote to the hype and hysteria about getting in and paying for college! O’Shaughnessy has produced an excellent overview that demystifies the college planning process for students and families.” —Barmak Nassirian, American Association of Collegiate Registrars and Admissions Officers For millions of families, the college planning experience has become extremely stressful. And, unless your child is an elite student in the academic top 1%, most books on the subject won’t help you. Now, however, there’s a college guide for everyone. In The College Solution, top personal finance journalist Lynn O’Shaughnessy presents an easy-to-use roadmap to finding the right college program (not just the most hyped) and dramatically reducing the cost of college, too. Forget the rankings! Discover what really matters: the quality and value of the programs your child wants and deserves. O’Shaughnessy uncovers “industry secrets” on how colleges actually parcel out financial aid—and how even “average” students can maximize their share. Learn how to send your kids to expensive private schools for virtually the cost of an in-state public college...and how promising students can pay significantly less than the “sticker price” even at the best state universities. No other book offers this much practical guidance on choosing a college...and no other book will save you as much money! • Secrets your school’s guidance counselor doesn’t know yet The surprising ways colleges have changed how they do business • Get every dime of financial aid that’s out there for you Be a “fly on the wall” inside the college financial aid office • U.S. News & World Report: clueless about your child Beyond one-size-fits-all rankings: finding the right program for your teenager • The best bargains in higher education Overlooked academic choices that just might be perfect for you |
| computer science uc davis major: Discrete Mathematics for Computer Science Gary Haggard, John Schlipf, Sue Whitesides, 2006 Master the fundamentals of discrete mathematics with DISCRETE MATHEMATICS FOR COMPUTER SCIENCE with Student Solutions Manual CD-ROM! An increasing number of computer scientists from diverse areas are using discrete mathematical structures to explain concepts and problems and this mathematics text shows you how to express precise ideas in clear mathematical language. Through a wealth of exercises and examples, you will learn how mastering discrete mathematics will help you develop important reasoning skills that will continue to be useful throughout your career. |
| computer science uc davis major: The Art of Debugging with GDB, DDD, and Eclipse Norman Matloff, Peter Jay Salzman, 2008-09-15 Debugging is crucial to successful software development, but even many experienced programmers find it challenging. Sophisticated debugging tools are available, yet it may be difficult to determine which features are useful in which situations. The Art of Debugging is your guide to making the debugging process more efficient and effective. The Art of Debugging illustrates the use three of the most popular debugging tools on Linux/Unix platforms: GDB, DDD, and Eclipse. The text-command based GDB (the GNU Project Debugger) is included with most distributions. DDD is a popular GUI front end for GDB, while Eclipse provides a complete integrated development environment. In addition to offering specific advice for debugging with each tool, authors Norm Matloff and Pete Salzman cover general strategies for improving the process of finding and fixing coding errors, including how to: –Inspect variables and data structures –Understand segmentation faults and core dumps –Know why your program crashes or throws exceptions –Use features like catchpoints, convenience variables, and artificial arrays –Avoid common debugging pitfalls Real world examples of coding errors help to clarify the authors’ guiding principles, and coverage of complex topics like thread, client-server, GUI, and parallel programming debugging will make you even more proficient. You'll also learn how to prevent errors in the first place with text editors, compilers, error reporting, and static code checkers. Whether you dread the thought of debugging your programs or simply want to improve your current debugging efforts, you'll find a valuable ally in The Art of Debugging. |
| computer science uc davis major: Interactive Computer Graphics Edward Angel, 2009 Computer animation and graphics-once rare, complicated, and comparatively expensive-are now prevalent in everyday life from the computer screen to the movie screen. Interactive Computer Graphics is the only introduction to computer graphics text for undergraduates that fully integrates OpenGL and emphasizes application-based programming. Using C and C++, the top-down, programming-oriented approach allows for coverage of engaging 3D material early in the course so students immediately begin to create their own 3D graphics. Low-level algorithms (for topics such as line drawing and filling polygons) are presented after students learn to create graphics. This book is suitable for undergraduate students in computer science and engineering, for students in other disciplines who have good programming skills, and for professionals. |
| computer science uc davis major: The Node Beginner Book Manuel Kiessling, 2012 Ryan Dahl, creator of Node.js: This is an amazing introduction to Node.js. The aim of The Node Beginner Book is to get you started with developing applications for Node.js, teaching you everything you need to know about advanced JavaScript along the way. |
| computer science uc davis major: Computational Bioengineering Guigen Zhang, 2015-04-01 Arguably the first book of its kind, Computational Bioengineering explores the power of multidisciplinary computer modeling in bioengineering. Written by experts, the book examines the interplay of multiple governing principles underlying common biomedical devices and problems, bolstered by case studies. It shows you how to take advantage of the la |
| computer science uc davis major: Using SQLite Jay Kreibich, 2010-08-17 Explains how to build database-backed applications for the Web, desktop, embedded systems, and operating systems using SQLite. |
| computer science uc davis major: Hispanic Engineer & IT , 1999-02 Hispanic Engineer & Information Technology is a publication devoted to science and technology and to promoting opportunities in those fields for Hispanic Americans. |
| computer science uc davis major: Decision Making for Student Success Benjamin L. Castleman, Saul Schwartz, Sandy Baum, 2015-03-12 Each year, many students with affordable college options and the academic skills needed to succeed do not enroll at all, enroll at institutions where they are not well-positioned for success, or drop out of college before earning a credential. Efforts to address these challenges have included changes in financial aid policy, increased availability of information, and enhanced academic support. This volume argues that the efficacy of these strategies can be improved by taking account of contemporary research on how students make choices. In Decision Making for Student Success, scholars from the fields of behavioral economics, education, and public policy explore contemporary research on decision-making and highlight behavioral insights that can improve postsecondary access and success. This exciting volume will provide scholars, researchers, and higher education administrators with valuable perspectives and low-cost strategies that they can employ to improve outcomes for underserved populations. |
| computer science uc davis major: America's Best Graduate Schools , 1998 This 2004 annual report features rankings of graduate schools in the areas of business, education, engineering, law, medicine, and humanities. A directory containing over 1,000 programs is featured. Sections on financing education, attending part- or full-time, and getting a job are also included. |
| computer science uc davis major: Data Science in R Deborah Nolan, Duncan Temple Lang, 2015-04-21 Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts |
| computer science uc davis major: Cellular Communications Nishith Tripathi, Jeffrey H. Reed, 2014-09-12 Even as newer cellular technologies and standards emerge, many of the fundamental principles and the components of the cellular network remain the same. Presenting a simple yet comprehensive view of cellular communications technologies, Cellular Communications provides an end-to-end perspective of cellular operations, ranging from physical layer details to call set-up and from the radio network to the core network. This self-contained source for practitioners and students represents a comprehensive survey of the fundamentals of cellular communications and the landscape of commercially deployed 2G and 3G technologies and provides a glimpse of emerging 4G technologies. |
| computer science uc davis major: California Notes , 1992 |
| computer science uc davis major: A Wilder Time William E. Glassley, 2018-02-13 JOHN BURROUGHS MEDAL FOR DISTINGUISHED NATURAL HISTORY BOOK A scientist experiences primordial wonders and the wisdom of solitude in one of Earth’s wildest and most endangered places Greenland, one of the last truly wild places, contains a treasure trove of information on Earth’s early history embedded in its pristine landscape. Over numerous seasons, William E. Glassley and two fellow geologists traveled there to collect samples and observe rock formations for evidence to prove a contested theory that plate tectonics, the movement of Earth’s crust over its molten core, is a much more ancient process than some believed. As their research drove the scientists ever farther into regions barely explored by humans for millennia—if ever—Glassley encountered wondrous creatures and natural phenomena that gave him unexpected insight into the origins of myth, the virtues and boundaries of science, and the importance of seeking the wilderness within. An invitation to experience a breathtaking place and the fascinating science behind its creation, A Wilder Time is nature writing at its best. |
| computer science uc davis major: Environmental Justice in a Moment of Danger Julie Sze, 2020-01-07 “Let this book immerse you in the many worlds of environmental justice.”—Naomi Klein We are living in a precarious environmental and political moment. In the United States and in the world, environmental injustices have manifested across racial and class divides in devastatingly disproportionate ways. What does this moment of danger mean for the environment and for justice? What can we learn from environmental justice struggles? Environmental Justice in a Moment of Danger examines mobilizations and movements, from protests at Standing Rock to activism in Puerto Rico in the wake of Hurricane Maria. Environmental justice movements fight, survive, love, and create in the face of violence that challenges the conditions of life itself. Exploring dispossession, deregulation, privatization, and inequality, this book is the essential primer on environmental justice, packed with cautiously hopeful stories for the future. |
| computer science uc davis major: Probability with Martingales David Williams, 1991-02-14 This is a masterly introduction to the modern, and rigorous, theory of probability. The author emphasises martingales and develops all the necessary measure theory. |
| computer science uc davis major: Stories Leonard C. Meeker, 2007-03 |
| computer science uc davis major: Pragmatic AI Noah Gift, 2018-07-12 Master Powerful Off-the-Shelf Business Solutions for AI and Machine Learning Pragmatic AI will help you solve real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Noah Gift demystifies all the concepts and tools you need to get results—even if you don’t have a strong background in math or data science. Gift illuminates powerful off-the-shelf cloud offerings from Amazon, Google, and Microsoft, and demonstrates proven techniques using the Python data science ecosystem. His workflows and examples help you streamline and simplify every step, from deployment to production, and build exceptionally scalable solutions. As you learn how machine language (ML) solutions work, you’ll gain a more intuitive understanding of what you can achieve with them and how to maximize their value. Building on these fundamentals, you’ll walk step-by-step through building cloud-based AI/ML applications to address realistic issues in sports marketing, project management, product pricing, real estate, and beyond. Whether you’re a business professional, decision-maker, student, or programmer, Gift’s expert guidance and wide-ranging case studies will prepare you to solve data science problems in virtually any environment. Get and configure all the tools you’ll need Quickly review all the Python you need to start building machine learning applications Master the AI and ML toolchain and project lifecycle Work with Python data science tools such as IPython, Pandas, Numpy, Juypter Notebook, and Sklearn Incorporate a pragmatic feedback loop that continually improves the efficiency of your workflows and systems Develop cloud AI solutions with Google Cloud Platform, including TPU, Colaboratory, and Datalab services Define Amazon Web Services cloud AI workflows, including spot instances, code pipelines, boto, and more Work with Microsoft Azure AI APIs Walk through building six real-world AI applications, from start to finish Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details. |
| computer science uc davis major: OpenGL Shading Language Randi J. Rost, 2006 As the 'Red Book' is known to be the gold standard for OpenGL, the 'Orange Book' is considered to be the gold standard for the OpenGL Shading Language. With Randi's extensive knowledge of OpenGL and GLSL, you can be assured you will be learning from a graphics industry veteran. Within the pages of the second edition you can find topics from beginning shader development to advanced topics such as the spherical harmonic lighting model and more. —David Tommeraasen, CEO/Programmer, Plasma Software This will be the definitive guide for OpenGL shaders; no other book goes into this detail. Rost has done an excellent job at setting the stage for shader development, what the purpose is, how to do it, and how it all fits together. The book includes great examples and details, and good additional coverage of 2.0 changes! —Jeffery Galinovsky, Director of Emerging Market Platform Development, Intel Corporation The coverage in this new edition of the book is pitched just right to help many new shader-writers get started, but with enough deep information for the 'old hands.' —Marc Olano, Assistant Professor, University of Maryland This is a really great book on GLSL—well written and organized, very accessible, and with good real-world examples and sample code. The topics flow naturally and easily, explanatory code fragments are inserted in very logical places to illustrate concepts, and all in all, this book makes an excellent tutorial as well as a reference. —John Carey, Chief Technology Officer, C.O.R.E. Feature Animation OpenGL® Shading Language, Second Edition, extensively updated for OpenGL 2.0, is the experienced application programmer's guide to writing shaders. Part reference, part tutorial, this book thoroughly explains the shift from fixed-functionality graphics hardware to the new era of programmable graphics hardware and the additions to the OpenGL API that support this programmability. With OpenGL and shaders written in the OpenGL Shading Language, applications can perform better, achieving stunning graphics effects by using the capabilities of both the visual processing unit and the central processing unit. In this book, you will find a detailed introduction to the OpenGL Shading Language (GLSL) and the new OpenGL function calls that support it. The text begins by describing the syntax and semantics of this high-level programming language. Once this foundation has been established, the book explores the creation and manipulation of shaders using new OpenGL function calls. OpenGL® Shading Language, Second Edition, includes updated descriptions for the language and all the GLSL entry points added to OpenGL 2.0; new chapters that discuss lighting, shadows, and surface characteristics; and an under-the-hood look at the implementation of RealWorldz, the most ambitious GLSL application to date. The second edition also features 18 extensive new examples of shaders and their underlying algorithms, including Image-based lighting Lighting with spherical harmonics Ambient occlusion Shadow mapping Volume shadows using deferred lighting Ward's BRDF model The color plate section illustrates the power and sophistication of the OpenGL Shading Language. The API Function Reference at the end of the book is an excellent guide to the API entry points that support the OpenGL Shading Language. Also included is a convenient Quick Reference Card to GLSL. |
Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can …
Computer | Definition, History, Operating Systems, & Facts
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What is a Computer?
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Computer - Wikipedia
A computer is a machine that can be programmed to automatically carry out sequences of arithmetic or logical operations (computation). Modern digital electronic computers can perform …
Computer | Definition, History, Operating Systems, & Facts
A computer is a programmable device for processing, storing, and displaying information. Learn more in this article about modern digital electronic computers and their design, constituent …
What is a Computer?
Feb 6, 2025 · What is a Computer? A computer is a programmable device that stores, retrieves, and processes data. The term "computer" was originally given to humans (human computers) …
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What is a Computer? - GeeksforGeeks
Apr 7, 2025 · A computer is an electronic device that processes, stores, and executes instructions to perform tasks. It includes key components such as the CPU (Central Processing Unit), RAM …
Computer Basics: What is a Computer? - GCFGlobal.org
What is a computer? A computer is an electronic device that manipulates information, or data. It has the ability to store, retrieve, and process data. You may already know that you can use a …
What is a Computer? (Definition & Meaning) - Webopedia
Oct 9, 2024 · A computer is a programmable machine that responds to specific instructions and uses hardware and software to perform tasks. Different types of computers, including desktops, …
Computer - Simple English Wikipedia, the free encyclopedia
A computer is a machine that uses electronics to input, process, store, and output data. Data is information such as numbers, words, and lists. Input of data means to read information from a …
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What is Computer? Definition, Characteristics and Classification
Aug 7, 2024 · A computer is an electronic device wherein we need to input raw data to be processed with a set of programs to produce a desirable output. Computers have the ability to …
