深層学習をより大きな統計的文脈へ位置づけるハイレベルなテキスト。深層学習のアプローチを確率モデリングや推論と統合する。Googleやパデュー大学などに所属する、世界の一流科学者、専門家が寄稿。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.