| Description |
1 online resource (225 p.) |
| Summary |
Numerical Machine Learning is a simple textbook on machine learning that bridges the gap between mathematics theory and practice. The book uses numerical examples with small datasets and simple Python codes to provide a complete walkthrough of the underlying mathematical steps of seven commonly used machine learning algorithms and techniques, including linear regression, regularization, logistic regression, decision trees, gradient boosting, Support Vector Mac |
| Notes |
Description based upon print version of record |
| Form |
Electronic book
|
| Author |
Irfan, Sayed Ameenuddin
|
|
Teoh, Christopher
|
| ISBN |
9789815136982 |
|
9815136984 |
|
