Thông tin tài liệu
Thông tin siêu dữ liệu biểu ghi
| Trường DC | Giá trị | Ngôn ngữ |
|---|---|---|
| dc.contributor.author | Alpaydin, Ethem | - |
| dc.date.accessioned | 2023-05-15T08:14:12Z | - |
| dc.date.available | 2023-05-15T08:14:12Z | - |
| dc.date.issued | 2014 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/6659 | - |
| dc.description.abstract | Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. Subjects include supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing. | vi |
| dc.language.iso | en | vi |
| dc.publisher | UK: Pearson, | vi |
| dc.subject | Machine Learning | Học máy | vi |
| dc.title | Introduction to : Machine Learning | vi |
| dc.type | Sách/Book | vi |
| Bộ sưu tập | Tin học | |
Danh sách tệp tin đính kèm:
