Club utilise des cookies et des technologies similaires pour faire fonctionner correctement le site web et vous fournir une meilleure expérience de navigation.
Ci-dessous vous pouvez choisir quels cookies vous souhaitez modifier :
Club utilise des cookies et des technologies similaires pour faire fonctionner correctement le site web et vous fournir une meilleure expérience de navigation.
Nous utilisons des cookies dans le but suivant :
Assurer le bon fonctionnement du site web, améliorer la sécurité et prévenir la fraude
Avoir un aperçu de l'utilisation du site web, afin d'améliorer son contenu et ses fonctionnalités
Pouvoir vous montrer les publicités les plus pertinentes sur des plateformes externes
Club utilise des cookies et des technologies similaires pour faire fonctionner correctement le site web et vous fournir une meilleure expérience de navigation.
Ci-dessous vous pouvez choisir quels cookies vous souhaitez modifier :
Cookies techniques et fonctionnels
Ces cookies sont indispensables au bon fonctionnement du site internet et vous permettent par exemple de vous connecter. Vous ne pouvez pas désactiver ces cookies.
Cookies analytiques
Ces cookies collectent des informations anonymes sur l'utilisation de notre site web. De cette façon, nous pouvons mieux adapter le site web aux besoins des utilisateurs.
Cookies marketing
Ces cookies partagent votre comportement sur notre site web avec des parties externes, afin que vous puissiez voir des publicités plus pertinentes de Club sur des plateformes externes.
Une erreur est survenue, veuillez réessayer plus tard.
Il y a trop d’articles dans votre panier
Vous pouvez encoder maximum 250 articles dans votre panier en une fois. Supprimez certains articles de votre panier ou divisez votre commande en plusieurs commandes.
Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applicati...Savoir plus
Utility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent approach from the ...Savoir plus
Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, ...Savoir plus
Entropy Randomization in Machine Learning presents a new approach to machine learning - entropy randomization - to obtain optimal solutions under unce...Savoir plus
Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety ...Savoir plus
Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application in various computer scien...Savoir plus
A Proven, Hands-On Approach for Students without a Strong Statistical Foundation Since the best-selling first edition was published, there have been s...Savoir plus
" A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and...Savoir plus
Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, ...Savoir plus
Emphasizing essential concepts and system-level perspectives, this book provides a foundation for solving many of today's most interesting and challen...Savoir plus
Introduction to Machine Learning with Applications in Information Security provides a class-tested introduction to a wide variety of machine learning ...Savoir plus
This comprehensive handbook presents practical tools and techniques for implementing natural language processing in computer systems. Along with remov...Savoir plus
This book provides an introduction to the growing field of sparse modeling, including application examples, problem formulations that yield sparse sol...Savoir plus
Combining signals and language models in one place, this book explores how sound may be represented and manipulated by computer systems, and how our d...Savoir plus
The release of ChatGPT has kicked off an arms race in Machine Learning (ML), however ML has also been described as a black box and very hard to unders...Savoir plus
Deep Learning and Linguistic Representation looks at the application of a variety of deep learning systems to several cognitively interesting NLP task...Savoir plus
The new edition of this popular, undergraduate textbook has been revised and updated to reflect current growth areas in Machine Learning. The new edit...Savoir plus
Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applicati...Savoir plus
This book is a collection of invited contributions from leading researchers in machine learning. Comprised of 21 chapters, this comprehensive referenc...Savoir plus
Probability as an Alternative to Boolean Logic While logic is the mathematical foundation of rational reasoning and the fundamental principle of compu...Savoir plus
This book provides an introduction to the growing field of sparse modeling, including application examples, problem formulations that yield sparse sol...Savoir plus
Deep Learning and Linguistic Representation looks at the application of a variety of deep learning systems to several cognitively interesting NLP task...Savoir plus
This book is a collection of invited contributions from leading researchers in machine learning. Comprised of 21 chapters, this comprehensive referenc...Savoir plus
Combining signals and language models in one place, this book explores how sound may be represented and manipulated by computer systems, and how our d...Savoir plus