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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Abhijit Ghatak | - |
| dc.date.accessioned | 2024-03-20T02:21:35Z | - |
| dc.date.available | 2024-03-20T02:21:35Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/9587 | - |
| dc.description.abstract | This book helps readers understand the mathematics of machine learning, and apply them in different situations. It is divided into two basic parts, the first of which introduces readers to the theory of linear algebra, probability, and data distributions and it's applications to machine learning. It also includes a detailed introduction to the concepts and constraints of machine learning and what is involved in designing a learning algorithm. This part helps readers understand the mathematical and statistical aspects of machine learning | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | Computer programming | Database management | Programming languages (Electronic computers) | Artificial Intelligence | Programming Languages, Compilers, Interpreters | Programming Techniques | Lập trình máy tính | Quản lý cơ sở dữ liệu | vi |
| dc.title | Machine Learning with R | vi |
| dc.type | Sách/Book | vi |
| Appears in Collections | Toán học | |
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