| Descript |
xviii, 141 pages : color illustrations ; 24 cm |
|
text rdacontent |
|
unmediated rdamedia |
|
volume rdacarrier |
| Bibliog. |
Includes bibliographical references and index |
| Contents |
Notation and definitions -- Fundamental algorithms -- Anatomy of a learning algorithm -- Basic practice -- Neural networks and deep learning -- Problems and solutions -- Advanced practice -- Unsupervised learning -- Other forms of learning |
| Summary |
Provides a practical guide to get started and execute on machine learning within a few days without necessarily knowing much about machine learning.The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue |
| Subject |
Machine learning
|
|
Materials science -- Data processing
|
| ISBN |
9781999579500 |
| Call # |
006.31 B959H 2019 |
|
