CSDL sách
- Machine learning : a probabilistic perspective
- Tác giả: Kevin P Murphy
- Nhà xuất bản: London - MIT Press
- Năm xuất bản: 2012
- Số trang:1069 p.
- Kích thước:24 cm
- Số đăng ký cá biệt:44523
- ISBN:978-0262018029
- Mã Dewey:006.31
- Đơn giá:0
- Vị trí lưu trữ:03 Quang Trung
- Ngôn ngữ:English
- Loại tài liệu:Sách Chuyên ngành
- Đang rỗi/ Tổng sách:9/10
- Từ khóa:Machine learning, Probabilities, Artificiell intelligens
- Chủ đề: Machine learning & Computers--Enterprise applications--Business intelligence tools & Artificiell intelligens & Khoa học Dữ liệu
- Chuyên ngành: Khoa Công Nghệ Thông Tin
- Tóm tắt: Including contesnts: Probability; Generative models for discrete data; Gaussian models; Bayesian statistics; Frequentist statistics; Linear regression; Logistic regression; Generalized linear models and the exponential family; Directed graphical models (Bayes nets); Mixture models and the EM algorithm; Latent linear models; Sparse linear models; Kernels; Gaussian processes; Adaptive basis function models; Markov and hidden Markov models; State space models; Undirected graphical models (Markov random fields); Exact inference for graphical models; Variational inference; More variational inference.
- Sách điện tử:http://thuvienso.duytan.edu.vn/handle/123456789/34311
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