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Author: Jon Stokes
Publisher: No Starch Press
ISBN: 1593271042
Category : Computers
Languages : en
Pages : 320
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Book Description
Om hvordan mikroprocessorer fungerer, med undersøgelse af de nyeste mikroprocessorer fra Intel, IBM og Motorola.
Author: Jon Stokes
Publisher: No Starch Press
ISBN: 1593271042
Category : Computers
Languages : en
Pages : 320
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Book Description
Om hvordan mikroprocessorer fungerer, med undersøgelse af de nyeste mikroprocessorer fra Intel, IBM og Motorola.
Author: June Jamrich Parsons
Publisher:
ISBN: 9781337388542
Category : Computers
Languages : en
Pages : 576
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Book Description
Technology impacts every aspect of life and choices are endless. As a college student, you need to know how to evaluate devices, choose apps, maintain a compelling online reputation, and lock down digital security. NEW PERSPECTIVES ON COMPUTER CONCEPTS 2018, INTRODUCTORY goes beyond the intuitive "how-to" of apps and social media to delve into the broad concepts that are guiding current technologies such as self-driving cars, virtual reality, file sharing torrents, encrypted communications, photo forensics, and the Internet of Things. Numerous illustrations and interactive features in this complete book make mastering technical topics a breeze with a learning path that is structured with you, today's busy student, in mind. This edition offers an insightful overview of what every college student should know about using technology to complete your education, launch a successful career, and engage in issues that shape today's world.
Author: D Asche
Publisher: CRC Press
ISBN: 9780852743775
Category : Mathematics
Languages : en
Pages : 108
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Book Description
An Introduction to Groups: A Computer Illustrated Text discusses all the concepts necessary for a thorough understanding of group theory. The book covers various theorems, including Lagrange and Sylow. It also details Cayley tables, Burnside's lemma, homomorphisms, and dicyclic groups. The book is ideal for advanced mathematics students and beginning undergraduates.
Author: Christopher D. Manning
Publisher: Cambridge University Press
ISBN: 1139472100
Category : Computers
Languages : en
Pages :
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Book Description
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Author: Dan Oja
Publisher:
ISBN: 9781111530969
Category :
Languages : en
Pages :
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Book Description
This edition does not include Companion CD: Computer Concepts - Illustrated Introductory, Seventh Edition Enhanced but it can be purchased separately, using ISBN 1111529744.
Author: Dan Oja
Publisher: Course Technology Ptr
ISBN: 9780324788921
Category : Computers
Languages : en
Pages : 344
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Book Description
Ensure today's most timely computer concepts are engaging and applicable with the integrated technology and proven visual approach found within Parsons/Oja's COMPUTER CONCEPTS, ILLUSTRATED INTRODUCTORY, 7E, ENHANCED. This new Enhanced Edition uses signature two-page spreads and more integrated technology than ever before to appeal to readers at all levels -- whether they are new to computers or already computer "hotshots." This edition's visually intense layout incorporates a proven skill-building step-by-step approach that makes computer skills easy to understand and apply, no matter what the reader's preferred learning style. New technology updates reflect the very latest technology developments to ensure the reader remains on the leading edge of computer progress today.
Author: June Jamrich Parsons
Publisher:
ISBN: 9781423905660
Category : Computers
Languages : en
Pages : 404
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Book Description
Computer Concepts-Sixth Edition, Enhanced is your solution for making practical computer concepts engaging and approachable for students. Its signature two-page spread and highly-visual layout successfully makes concepts easy to understand and apply for a variety of learning types. This new edition has been updated throughout with the latest information on emerging technology trends and issues, making it easy for you to keep your course current.
Author: Jim Shuman
Publisher: Course Technology
ISBN: 9780619110529
Category : Interactive multimedia
Languages : en
Pages : 0
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Book Description
Learn the basics of Multimedia from understanding Multimedia elements to management and distribution on Multimedia titles.
Author: Kenneth Dawson-Howe
Publisher: John Wiley & Sons
ISBN: 111884873X
Category : Computers
Languages : en
Pages : 319
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Book Description
Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Computer Vision is a rapidly expanding area and it is becoming progressively easier for developers to make use of this field due to the ready availability of high quality libraries (such as OpenCV 2). This text is intended to facilitate the practical use of computer vision with the goal being to bridge the gap between the theory and the practical implementation of computer vision. The book will explain how to use the relevant OpenCV library routines and will be accompanied by a full working program including the code snippets from the text. This textbook is a heavily illustrated, practical introduction to an exciting field, the applications of which are becoming almost ubiquitous. We are now surrounded by cameras, for example cameras on computers & tablets/ cameras built into our mobile phones/ cameras in games consoles; cameras imaging difficult modalities (such as ultrasound, X-ray, MRI) in hospitals, and surveillance cameras. This book is concerned with helping the next generation of computer developers to make use of all these images in order to develop systems which are more intuitive and interact with us in more intelligent ways. Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Offers an introduction to computer vision, with enough theory to make clear how the various algorithms work but with an emphasis on practical programming issues Provides enough material for a one semester course in computer vision at senior undergraduate and Masters levels Includes the basics of cameras and images and image processing to remove noise, before moving on to topics such as image histogramming; binary imaging; video processing to detect and model moving objects; geometric operations & camera models; edge detection; features detection; recognition in images Contains a large number of vision application problems to provide students with the opportunity to solve real problems. Images or videos for these problems are provided in the resources associated with this book which include an enhanced eBook
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
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Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
