Intelligenza Artificiale Un Approccio Moderno

Autore: Stuart J. Russell
Editore:
ISBN: 9788871925936
Grandezza: 24,43 MB
Formato: PDF
Vista: 8883
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Artificial Intelligence

Autore: Stuart Russell
Editore:
ISBN: 9781292153964
Grandezza: 49,85 MB
Formato: PDF, ePub, Docs
Vista: 6570
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For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.

Machine Learning For Dummies

Autore: John Paul Mueller
Editore: John Wiley & Sons
ISBN: 1119245516
Grandezza: 24,60 MB
Formato: PDF, ePub, Mobi
Vista: 8933
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Your no-nonsense guide to making sense of machine learning Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data—or anything in between—this guide makes it easier to understand and implement machine learning seamlessly. Grasp how day-to-day activities are powered by machine learning Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis Learn to code in R using R Studio Find out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!

Pattern Recognition And Machine Learning

Autore: Christopher M. Bishop
Editore: Springer Verlag
ISBN: 9780387310732
Grandezza: 61,99 MB
Formato: PDF, ePub
Vista: 6226
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The field of pattern recognition has undergone substantial development over the years. This book reflects these developments while providing a grounding in the basic concepts of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners.

Learning And Soft Computing

Autore: Vojislav Kecman
Editore: MIT Press
ISBN: 9780262112550
Grandezza: 59,61 MB
Formato: PDF, ePub
Vista: 5059
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This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.

Artificial Intelligence For Games

Autore: Ian Millington
Editore: CRC Press
ISBN: 0123747317
Grandezza: 27,12 MB
Formato: PDF, Docs
Vista: 7240
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Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques. "Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games).

The Data Warehouse Toolkit

Autore: Ralph Kimball
Editore: John Wiley & Sons
ISBN: 1118082141
Grandezza: 24,91 MB
Formato: PDF, Mobi
Vista: 6674
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Machine Learning

Autore: Tom M. Mitchell
Editore:
ISBN: 9780071154673
Grandezza: 23,30 MB
Formato: PDF, ePub, Docs
Vista: 9178
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This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.

Alternative Modernity

Autore: Andrew Feenberg
Editore: Univ of California Press
ISBN: 9780520915701
Grandezza: 45,63 MB
Formato: PDF
Vista: 5896
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In this new collection of essays, Andrew Feenberg argues that conflicts over the design and organization of the technical systems that structure our society shape deep choices for the future. A pioneer in the philosophy of technology, Feenberg demonstrates the continuing vitality of the critical theory of the Frankfurt School. He calls into question the anti-technological stance commonly associated with its theoretical legacy and argues that technology contains potentialities that could be developed as the basis for an alternative form of modern society. Feenberg's critical reflections on the ideas of Jürgen Habermas, Herbert Marcuse, Jean-François Lyotard, and Kitaro Nishida shed new light on the philosophical study of technology and modernity. He contests the prevalent conception of technology as an unstoppable force responsive only to its own internal dynamic and politicizes the discussion of its social and cultural construction. This argument is substantiated in a series of compelling and well-grounded case studies. Through his exploration of science fiction and film, AIDS research, the French experience with the "information superhighway," and the Japanese reception of Western values, he demonstrates how technology, when subjected to public pressure and debate, can incorporate ethical and aesthetic values.

Simians Cyborgs And Women

Autore: Donna Haraway
Editore: Routledge
ISBN: 1135964769
Grandezza: 32,89 MB
Formato: PDF
Vista: 2998
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Simians, Cyborgs and Women is a powerful collection of ten essays written between 1978 and 1989. Although on the surface, simians, cyborgs and women may seem an odd threesome, Haraway describes their profound link as "creatures" which have had a great destabilizing place in Western evolutionary technology and biology. Throughout this book, Haraway analyzes accounts, narratives, and stories of the creation of nature, living organisms, and cyborgs. At once a social reality and a science fiction, the cyborg--a hybrid of organism and machine--represents transgressed boundaries and intense fusions of the nature/culture split. By providing an escape from rigid dualisms, the cyborg exists in a post-gender world, and as such holds immense possibilities for modern feminists. Haraway's recent book, Primate Visions, has been called "outstanding," "original," and "brilliant," by leading scholars in the field. (First published in 1991.)