5 recherche sur le mot-clé 'Artificial intelligence'   

Artificial intelligence: a guide for thinking humans / Melanie Mitchell (2020)  

Public ISBD Titre : Artificial intelligence: a guide for thinking humans Type de document : livre Auteurs : Melanie Mitchell, Auteur Mention d'édition : 1st pbk. ed. Editeur : New York : Picador Année de publication : 2020 Autre Editeur : New York : Farrar, Straus and Giroux Importance : 317 p. ISBN/ISSN/EAN : 978-1-250-75804-0 Prix : 18.00 USD Note générale : First Picador paperback edition; Langues : Anglais (eng) Mots-clés : Artificial intelligence  Machine learning  Neural networks  Social sciences Résumé : La 4ème de couv. indique : No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI's turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize-winning author of the modern classic Gödel, Escher, Bach, who explains why he is "terrified" about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell's humor and personal observations. This frank, lively book is an indispensable guide to understanding today's AI, its quest for "human-level" intelligence, and its impacts on the future for us all. Note de contenu : Voir aussi le site de l'auteur : https://melaniemitchell.me/aibook/ En ligne : https://us.macmillan.com/books/9781250758040 Artificial intelligence: a guide for thinking humans [livre] / Melanie Mitchell, Auteur  . -  1st pbk. ed. . - New York : Picador : New York : Farrar, Straus and Giroux, 2020 . - 317 p. ISBN : 978-1-250-75804-0 : 18.00 USD First Picador paperback edition; Langues : Anglais (eng) Mots-clés : Artificial intelligence  Machine learning  Neural networks  Social sciences Résumé : La 4ème de couv. indique : No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI's turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize-winning author of the modern classic Gödel, Escher, Bach, who explains why he is "terrified" about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell's humor and personal observations. This frank, lively book is an indispensable guide to understanding today's AI, its quest for "human-level" intelligence, and its impacts on the future for us all. Note de contenu : Voir aussi le site de l'auteur : https://melaniemitchell.me/aibook/ En ligne : https://us.macmillan.com/books/9781250758040

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69738	MIT_11_69738	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 22/10/2044

Hands-on machine learning with Scikit-Learn, Keras and TensorFlow: concepts, tools, and techniques to build intelligent systems / Aurélien Géron (2019)  

Public ISBD Titre : Hands-on machine learning with Scikit-Learn, Keras and TensorFlow: concepts, tools, and techniques to build intelligent systems Type de document : livre Auteurs : Aurélien Géron, Auteur Mention d'édition : 2nd ed. Editeur : Sebastopol, California : O'Reilly Media Année de publication : 2019 Importance : 819 p. ISBN/ISSN/EAN : 978-1-4920-3264-9 Prix : 74.99 USD Note générale : All code is available on GitHub. Updated to TensorFlow 2 and the latest version of Scikit-Learn; List of errors and their corrections at : https://www.oreilly.com/catalog/errata.csp?isbn=9781492032649 Langues : Anglais (eng) Mots-clés : Machine learning  Artificial intelligence  Neural networks  Statistical methods  Python (Computer program language)  Computer programming En ligne : http://shop.oreilly.com/product/0636920142874.do Hands-on machine learning with Scikit-Learn, Keras and TensorFlow: concepts, tools, and techniques to build intelligent systems [livre] / Aurélien Géron, Auteur  . -  2nd ed. . - Sebastopol, California : O'Reilly Media, 2019 . - 819 p. ISBN : 978-1-4920-3264-9 : 74.99 USD All code is available on GitHub. Updated to TensorFlow 2 and the latest version of Scikit-Learn; List of errors and their corrections at : https://www.oreilly.com/catalog/errata.csp?isbn=9781492032649 Langues : Anglais (eng) Mots-clés : Machine learning  Artificial intelligence  Neural networks  Statistical methods  Python (Computer program language)  Computer programming En ligne : http://shop.oreilly.com/product/0636920142874.do

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69644	GER_11_69644	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 22/10/2044

Deep learning with Python / François Chollet (2018)  

Public ISBD Titre : Deep learning with Python Type de document : livre Auteurs : François Chollet, Auteur Editeur : Shelter Island, NY : Manning Année de publication : 2018 Importance : 361 p. ISBN/ISSN/EAN : 978-1-61729-443-3 Note générale : ISBN-10 : 1-61729-443-8 Langues : Anglais (eng) Mots-clés : Machine learning  Artificial intelligence  Statistical methods  Python (Computer program language)  Computer programming Résumé : Le site éditeur indique : Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. En ligne : https://www.manning.com/books/deep-learning-with-python Deep learning with Python [livre] / François Chollet, Auteur . - Shelter Island, NY : Manning, 2018 . - 361 p. ISBN : 978-1-61729-443-3 ISBN-10 : 1-61729-443-8 Langues : Anglais (eng) Mots-clés : Machine learning  Artificial intelligence  Statistical methods  Python (Computer program language)  Computer programming Résumé : Le site éditeur indique : Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. En ligne : https://www.manning.com/books/deep-learning-with-python

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69641	CHO_11_69641	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 22/10/2044

Deep learning / Ian Goodfellow (2017)  

Public ISBD Titre : Deep learning Type de document : livre Auteurs : Ian Goodfellow, Auteur ; Yoshua Bengio, Auteur ; Aaron Courville, Auteur Editeur : Cambridge, Massachusetts : The MIT Press Année de publication : 2017 Collection : Adaptive computation and machine learning Importance : 775 p. ISBN/ISSN/EAN : 978-0-262-03561-3 Prix : 65.00 GBP Note générale : Author's website with Exercises, Lectures and External links: http://www.deeplearningbook.org/ Langues : Anglais (eng) Mots-clés : Machine learning  Artificial intelligence  Mathematical models  Statistical methods Résumé : 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. En ligne : https://mitpress.mit.edu/books/deep-learning Deep learning [livre] / Ian Goodfellow, Auteur ; Yoshua Bengio, Auteur ; Aaron Courville, Auteur . - Cambridge, Massachusetts : The MIT Press, 2017 . - 775 p.. - (Adaptive computation and machine learning) . ISBN : 978-0-262-03561-3 : 65.00 GBP Author's website with Exercises, Lectures and External links: http://www.deeplearningbook.org/ Langues : Anglais (eng) Mots-clés : Machine learning  Artificial intelligence  Mathematical models  Statistical methods Résumé : 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. En ligne : https://mitpress.mit.edu/books/deep-learning

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69640	GOO_11_69640	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 22/10/2044

Induction: processes of inference, learning, and discovery / Holland, John H. (1986)

Public ISBD Titre : Induction: processes of inference, learning, and discovery Type de document : livre Auteurs : Holland, John H., Auteur ; Holyoak, Keith J., Auteur ; Nisbett, Richard E., Auteur ; Thagard, Paul R., Auteur Editeur : Cambridge, Massachusetts : MIT Press Année de publication : 1986 Collection : Computational models of cognition and perception Importance : 398 p. ISBN/ISSN/EAN : 978-0-262-58096-0 Langues : Anglais (eng) Mots-clés : Artificial intelligence  Induction (Logic)  Inference  Learning,Psychology of  Machine learning  Memory Induction: processes of inference, learning, and discovery [livre] / Holland, John H., Auteur ; Holyoak, Keith J., Auteur ; Nisbett, Richard E., Auteur ; Thagard, Paul R., Auteur . - Cambridge, Massachusetts : MIT Press, 1986 . - 398 p.. - (Computational models of cognition and perception) . ISBN : 978-0-262-58096-0 Langues : Anglais (eng) Mots-clés : Artificial intelligence  Induction (Logic)  Inference  Learning,Psychology of  Machine learning  Memory

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69171	HOL_21_69171	Livre	Salle des ouvrages	21_Sciences_Humaines	Sorti jusqu'au 25/05/2043