| 000 | 00974nam a22002057a 4500 | ||
|---|---|---|---|
| 003 | IIITD | ||
| 005 | 20240906020003.0 | ||
| 008 | 240320b xxu||||| |||| 00| 0 eng d | ||
| 020 | _a9798986924021 | ||
| 040 | _aIIITD | ||
| 082 |
_a006.31 _bSTA-S |
||
| 100 | _aStarmer, Josh | ||
| 245 |
_aThe statquest illustrated guide to machine learning _cby Josh Starmer |
||
| 260 |
_aNorth Carolina : _bJoshua Starmer, _c©2022 |
||
| 300 |
_a304 p. : _bcol. ill. ; _c23 cm. |
||
| 505 |
_t1. Fundamental Concepts in Machine Learning!!! _t2. Cross Validation!!! _t3. Fundamental Concepts in Statistics!!! _t4. Linear Regression!!! _t5. Gradient Descent!!! _t6. Logistic Regression!!! _t7. Naive Bayes!!! _t8. Assessing Model Performance!!! _t9. Preventing Overfitting with Regularization!!! _t10. Decision Trees!!! _t11. Support Vector Classifiers and Machines (SVMs)!!! _t12. Neural Networks!!! |
||
| 650 | _aMachine Learning | ||
| 650 | _aStatQuest with Josh Starmer | ||
| 942 |
_2ddc _cBK _01 |
||
| 999 |
_c172347 _d172347 |
||