CSDL sách
- Probabilistic machine learning : advanced topics
- Tác giả: Kevin P. Murphy
- Nhà xuất bản: The MIT Press - Cambridge
- Năm xuất bản: 2023
- Số trang:1319 p.
- Kích thước:24 cm.
- Số đăng ký cá biệt:57353
- ISBN:9780262048439
- Mã Dewey:006.31015192
- Đơn giá:0
- Vị trí lưu trữ:03 Quang Trung
- Ngôn ngữ:English
- Loại tài liệu:Sách Chuyên ngành
- Đang rỗi/ Tổng sách:1/1
- Từ khóa:Apprentissage automatique, machine learning, probability, artificial Intelligence
- Chủ đề: Artificial intelligence & Machine learning & Probability measures
- Chuyên ngành: Khoa Công Nghệ Thông Tin
- Tóm tắt: 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.
- Sách điện tử:https://thuvienso.duytan.edu.vn/handle/123456789/338648
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