| 000 | 01626nam a22003017i 4500 | ||
|---|---|---|---|
| 005 | 20250807154334.0 | ||
| 008 | 250728s2023 ii a fr 001 0 eng d | ||
| 020 | _a9789355511041 | ||
| 040 |
_aEG-GaU _cEG-GaU _dEG-GaU _erda |
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| 082 | 0 | 4 |
_223 _a006.312 _bD.A.B |
| 100 | 1 |
_aDua, Amit, _eauthor. _961782 |
|
| 245 | 1 | 0 |
_aBeginning with Machine Learning : _bthe ultimate introduction to machine learning, deep learning, Scikit-learn, and TensorFlow / _cDr. Amit Dua and Umair Ayub. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aNew Delhi : _bBPB Publications, _c2023. |
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| 300 |
_a185 pages : _billustrations ; _c24 cm. |
||
| 336 |
_2rdacontent _atext _btxt |
||
| 337 |
_2rdamedia _aunmediated _bn |
||
| 338 |
_2rdacarrier _avolume _bnc |
||
| 504 | _aIncludes index. | ||
| 505 | _aIntroduction to Machine Learning -- Supervised Learning -- Unsupervised Learning -- Model Evaluation -- Reinforcement Learning -- Neural Networking and Deep Learning -- Appendix: Machine Learning Questions. | ||
| 520 | _aThis book covers core machine learning concepts, including supervised, unsupervised, and reinforcement learning. It explains model evaluation techniques like Cross-Validation and GridSearchCV, and explores neural networks and deep learning. Designed for beginners and professionals seeking to expand their ML knowledge. | ||
| 650 | 4 |
_aMachine learning _xStudy and teaching. _960492 |
|
| 650 | 4 |
_aDeep learning (Computer science). _961783 |
|
| 650 | 4 |
_aMachine learning _xMethods _zIndia. _961784 |
|
| 700 | 1 |
_aAyub, Umair, _eauthor. _961785 |
|
| 942 |
_2ddc _cBK |
||
| 999 |
_c11578 _d11578 |
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