| 000 | 01633nam a22002897i 4500 | ||
|---|---|---|---|
| 005 | 20250826132923.0 | ||
| 008 | 250805s2024 ii a|||fr|||| 001 0 eng d | ||
| 020 | _a9789355519818 | ||
| 040 |
_aEG-GaU _cEG-GaU _dEG-GaU _erda |
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| 082 | 0 | 4 |
_223 _a006.31 _bB.M.O |
| 100 | 1 |
_aBaig, Mirza Rahim, _eauthor. _962945 |
|
| 245 | 1 | 0 |
_aOptimizing AI and Machine Learning Solutions : _bbyour ultimate guide to building high-impact ML/AI solutions / _cMirza Rahim Baig. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aNew Delhi : _bBPB Publications, _c2024. |
|
| 300 |
_a370 pages : _billustrations ; _c24 cm. |
||
| 336 |
_2rdacontent _atext _btxt |
||
| 337 |
_2rdamedia _aunmediated _bn |
||
| 338 |
_2rdacarrier _avolume _bnc |
||
| 504 | _aIncludes index. | ||
| 505 | _aOptimizing a Machine Learning/Artificial Intelligence solution -- ML problem formulation: setting the right objective -- Data collection and pre-processing -- Model evaluation and debugging -- Imbalanced machine learning -- Hyper-parameter tuning -- Parameter optimization algorithms -- Optimizing deep learning models -- Optimizing image models -- Optimizing natural language processing models -- Transfer learning. | ||
| 520 | _a"Practical guide to building high-impact ML/AI solutions with optimization at each step: problem formulation, data preparation, model evaluation, hyperparameter tuning, deep learning, transfer learning, and real-world case studies." | ||
| 650 | 4 |
_aMachine learning. _9972 |
|
| 650 | 4 |
_aArtificial intelligence. _962943 |
|
| 650 | 4 |
_aData mining. _961709 |
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| 942 |
_2ddc _cBK |
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| 999 |
_c12021 _d12021 |
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