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Learning Processing

2015-09-09 Computers
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Release : 2015-09-09
Genre : Computers
Kind : eBook
Book Rating : 928/5 ( reviews)

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Book Synopsis Learning Processing by : Daniel Shiffman

Download or read book Learning Processing written by Daniel Shiffman. This book was released on 2015-09-09. Available in PDF, EPUB and Kindle. Book excerpt: Learning Processing, Second Edition, is a friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages. Requiring no previous experience, this book is for the true programming beginner. It teaches the basic building blocks of programming needed to create cutting-edge graphics applications including interactive art, live video processing, and data visualization. Step-by-step examples, thorough explanations, hands-on exercises, and sample code, supports your learning curve. A unique lab-style manual, the book gives graphic and web designers, artists, and illustrators of all stripes a jumpstart on working with the Processing programming environment by providing instruction on the basic principles of the language, followed by careful explanations of select advanced techniques. The book has been developed with a supportive learning experience at its core. From algorithms and data mining to rendering and debugging, it teaches object-oriented programming from the ground up within the fascinating context of interactive visual media. This book is ideal for graphic designers and visual artists without programming background who want to learn programming. It will also appeal to students taking college and graduate courses in interactive media or visual computing, and for self-study. A friendly start-up guide to Processing, a free, open-source alternative to expensive software and daunting programming languages No previous experience required—this book is for the true programming beginner! Step-by-step examples, thorough explanations, hands-on exercises, and sample code supports your learning curve

Getting Started with Processing.py

2016-05-11 Computers
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Release : 2016-05-11
Genre : Computers
Kind : eBook
Book Rating : 799/5 ( reviews)

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Book Synopsis Getting Started with Processing.py by : Allison Parrish

Download or read book Getting Started with Processing.py written by Allison Parrish. This book was released on 2016-05-11. Available in PDF, EPUB and Kindle. Book excerpt: Processing opened up the world of programming to artists, designers, educators, and beginners. The Processing.py Python implementation of Processing reinterprets it for today's web. This short book gently introduces the core concepts of computer programming and working with Processing. Written by the co-founders of the Processing project, Reas and Fry, along with co-author Allison Parrish, Getting Started with Processing.py is your fast track to using Python's Processing mode.

Processing Politics

2012-07-15 Political Science
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Release : 2012-07-15
Genre : Political Science
Kind : eBook
Book Rating : 769/5 ( reviews)

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Book Synopsis Processing Politics by : Doris A. Graber

Download or read book Processing Politics written by Doris A. Graber. This book was released on 2012-07-15. Available in PDF, EPUB and Kindle. Book excerpt: How often do we hear that Americans are so ignorant about politics that their civic competence is impaired, and that the media are to blame because they do a dismal job of informing the public? Processing Politics shows that average Americans are far smarter than the critics believe. Integrating a broad range of current research on how people learn (from political science, social psychology, communication, physiology, and artificial intelligence), Doris Graber shows that televised presentations—at their best—actually excel at transmitting information and facilitating learning. She critiques current political offerings in terms of their compatibility with our learning capacities and interests, and she considers the obstacles, both economic and political, that affect the content we receive on the air, on cable, or on the Internet. More and more people rely on information from television and the Internet to make important decisions. Processing Politics offers a sound, well-researched defense of these remarkably versatile media, and challenges us to make them work for us in our democracy.

Learning Machine Translation

2009 Computers
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Release : 2009
Genre : Computers
Kind : eBook
Book Rating : 971/5 ( reviews)

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Book Synopsis Learning Machine Translation by : Cyril Goutte

Download or read book Learning Machine Translation written by Cyril Goutte. This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt: How Machine Learning can improve machine translation: enabling technologies and new statistical techniques.

Representation Learning for Natural Language Processing

2020-07-03 Computers
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Release : 2020-07-03
Genre : Computers
Kind : eBook
Book Rating : 737/5 ( reviews)

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Book Synopsis Representation Learning for Natural Language Processing by : Zhiyuan Liu

Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu. This book was released on 2020-07-03. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.

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