Understanding machine learning : :: SCD d'Orléans

Understanding machine learning : from theory to algorithms

Understanding machine learning : from theory to algorithms

La quatrième de couverture indique : "Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretica...

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Bibliografiske detaljer
Auteurs principaux:	Shalev-Shwartz, Shai, Ben-David, Shai (Auteur)
Format:	Livre papier
Sprog:	Anglais
Udgivet:	New York : Cambridge University Press C 2014.
Fag:	Apprentissage automatique Algorithmes
Kommentar:	Autre tirage: 2018
Autres localisations:	Voir dans le Sudoc
Edition sous un autre format:	• Understanding machine learning, from theory to algorithms, Shai Shalev-Shwartz,... Shai Ben-David,..., 2014, New York, NY, Cambridge University Press, Institute of Mathematical Statistics Textbooks, 978-1-107-29801-9

Lignende værker

Genetic algorithms in search, optimization, and machine learning
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Udgivet: (1989)

Machine learning
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Udgivet: (1997)

Introduction au machine learning
af: Azencott, Chloé-Agathe, 19..-
Udgivet: (2022)

Computational learning theory : Third European Conference, EuroCOLT '97, Jerusalem, Israel, March 17-19, 1997 : proceedings
af: Ben-David, Shai

Machine learning : ECML-95 : 8th European Conference on Machine Learning, Heraclion, Crete, Greece, April 25 27, 1995 : proceedings
af: Lavrač, Nada, 1953-

Machine learning : ECML-97 : 9th European Conference on Machine Learning Prague, Czech Republic, April 23 25, 1997 : proceedings
af: Van Someren, Maarten, 1955-

Information theory, inference, and learning algorithms
af: MacKay, David J. C., 1967-2016
Udgivet: (2003)

Advanced lectures on machine learning : machine learning summer school 2002, Canberra, Australia, February 11 22, 2002 : revised lectures

Machine learning : ECML 2000 : 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31-June 2, 2000 : proceedings
af: Lopez de Mantaras, Ramón, 1952-

Machine learning : ECML 2002 : 13th European Conference on Machine Learning Helsinki, Finland, August 19 23, 2002 : proceedings

Machine learning : ECML 2004 : 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004 : proceedings
af: Boulicaut, Jean-François, 1960-

Introduction au machine learning
af: Azencott, Chloé-Agathe, 19..-
Udgivet: (2022)

Introduction au machine learning
af: Azencott, Chloé-Agathe, 19..-
Udgivet: (2025)

Machine learning : ECML 2003 : 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003 : proceedings

Machine learning : ECML-98 : 10th European Conference on Machine Learning Chemnitz, Germany, April 21 23, 1998 : proceedings
af: Nédellec, Claire, 1963-...., mathématicienne

Introduction au machine learning
af: Azencott, Chloé-Agathe, 19..-
Udgivet: (2025)

Machine learning : ECML 2001 : 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001 : proceedings

Learning theory and Kernel machines : 16th annual Conference on Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003 : proceedings

Sequence learning : paradigms, algorithms, and applications
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Innovations in machine learning : theory and applications

Machine learning : theory and applications
af: Govindaraju, Venugopal, 1964-
Udgivet: (2013)

Advanced lectures on machine learning : ML Summer Schools 2003, Canberra, Australia, February 2-14, 2003, Tübingen, Germany, August 4-16, 2003 : revised lectures

Machine learning et sécurité : protection des systèmes par les données et les algorithmes
af: Chio, Clarence, et autres
Udgivet: (2019)

Machine learning avec Scikit-Learn : mise en oeuvre et cas concrets
af: Géron, Aurélien, 19..-...., développeur informatique
Udgivet: (2023)

Machine learning avec Scikit-Learn : mise en oeuvre et cas concrets
af: Géron, Aurélien, 19..-...., développeur informatique
Udgivet: (2023)

Apache Mahout essentials : implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout
af: Withanawasam, Jayani
Udgivet: (2015)

Prediction, learning, and games
af: Cesa-Bianchi, Nicolo, 1963-, et autres
Udgivet: (2006)

Apprentissage artificiel : deep learning, concepts et algorithmes
af: Cornuéjols, Antoine, 19..-, et autres
Udgivet: (2018)

Machine learning : a probabilistic perspective
af: Murphy, Kevin P., 1970-
Udgivet: (2012)

Adversial robustness for machine learning
af: Chen, Pin-Yu, 19..-, et autres
Udgivet: (2022)

Machine learning : les fondamentaux
af: Harrison, Matt, 1975-
Udgivet: (2020)

Algorithmic learning theory : third workshop, ALT '92, Tokyo, Japan, October 20-22, 1992 : proceedings
af: Doshita, Shuji

Algorithmic learning theory : 6th International Workshop, ALT '95 Fukuoka, Japan, October 18-20, 1995 : proceedings
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Algorithmic learning theory : 4th international workshop, ALT '93 Tokyo, Japan, November 8-10, 1993 : proceedings
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Foundations of genetic algorithms.
af: Whitley, L. Darrell
Udgivet: (1993)

Python machine learning
af: Lee, Wei-Meng, 19..-
Udgivet: (2019)

Learning classifier systems : from foundations to applications
af: Lanzi, Pier Luca, 1967-

Learning theory : 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004 : proceedings

Practical machine learning in R
af: Nwanganga, Fred, 19..-, et autres
Udgivet: (2020)

Développer des applications machine learning
af: Ameisen, Emmanuel
Udgivet: (2020)

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