Idiot S Guide To Google Workspace Pdf


Download Idiot S Guide To Google Workspace Pdf PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Idiot S Guide To Google Workspace Pdf book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

The Complete Idiot's Guide to Computer Basics, 5th Edition


The Complete Idiot's Guide to Computer Basics, 5th Edition

Author: Joe Kraynak

language: en

Publisher: Penguin

Release Date: 2009-02-03


DOWNLOAD





Time for an upgrade! The fifth edition of The Complete Idiot's Guide® to Computer Basics places the reader in charge of the computer, rather than the other way around, and places the focus on software troubleshooting rather than hardware techno-babble. The reader wants to do something practical with his or her computer—this book shows them how. • Covers basic office programs and how to manage photo, video, and music files • Advice on safe web-surfing, including coverage of newsgroups, message boards, and mailing lists • New green computing initiatives that help protect the environment • Maintenance and upgrading information

The Complete Idiot's Guide to the Internet, Special Edition


The Complete Idiot's Guide to the Internet, Special Edition

Author: Peter Kent

language: en

Publisher:

Release Date: 1999


DOWNLOAD





Fundamentals of Image Data Mining


Fundamentals of Image Data Mining

Author: Dengsheng Zhang

language: en

Publisher: Springer Nature

Release Date: 2021-06-25


DOWNLOAD





This unique and useful textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learning, and image retrieval. The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments. Topics and features: Describes essential tools for image mining, covering Fourier transforms, Gabor filters, and contemporary wavelet transforms Develops many new exercises (most with MATLAB code and instructions) Includes review summaries at the end of each chapter Analyses state-of-the-art models, algorithms, and procedures for image mining Integrates new sections on pre-processing, discrete cosine transform, and statistical inference and testing Demonstrates how features like color, texture, and shape can be mined or extracted for image representation Applies powerful classification approaches: Bayesian classification, support vector machines, neural networks, and decision trees Implements imaging techniques for indexing, ranking, and presentation, as well as database visualization This easy-to-follow, award-winning book illuminates how concepts from fundamental and advanced mathematics can be applied to solve a broad range of image data mining problems encountered by students and researchers of computer science. Students of mathematics and other scientific disciplines will also benefit from the applications and solutions described in the text, together with the hands-on exercises that enable the reader to gain first-hand experience of computing.