18 337 224 livres à l’intérieur 175 langues
2 901 545 livres numériques à l’intérieur 110 langues
Cela ne vous convient pas ? Aucun souci à se faire ! Vous pouvez retourner les articles jusqu'à 30 jours
Impossible de faire fausse route avec un bon d’achat. Le destinataire du cadeau peut choisir ce qu'il veut parmi notre sélection.
Jusqu'à 30 jours pour les retours
An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty.
An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality. This volume puts deep learning into a larger statistical context and unifies approaches based on deep learning with ones based on probabilistic modeling and inference. With contributions from top scientists and domain experts from places such as Google, DeepMind, Amazon, Purdue University, NYU, and the University of Washington, this rigorous book is essential to understanding the vital issues in machine learning.
Bonjour ! Je suis Libroamiko, votre conseiller littéraire.
Comment puis-je vous aider ?