| 000 | 01519nam a22002777i 4500 | ||
|---|---|---|---|
| 005 | 20250722114304.0 | ||
| 008 | 250722b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9789391030421 | ||
| 040 |
_aEG-GaU _cEG-GaU _dEG-GaU _erda |
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| 082 |
_223 _a006.3 _bk.a.p. |
||
| 100 |
_aKumar, Alok, _eauthor. _960428 |
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| 245 | 1 | 0 |
_aPractical full‑stack machine learning : _bA guide to build reliable, reusable, and production‑ready full‑stack ML solutions / _cAlok Kumar. |
| 250 | _a 1st edition. | ||
| 264 | 1 |
_aNew Delhi : _bBPB Publications, _c2021. |
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| 300 |
_a422 pages : _billustrations ; _c20 cm. |
||
| 336 |
_2rdacontent _atext _btxt |
||
| 337 |
_2rdamedia _aunmediated _bn |
||
| 338 |
_2rdacarrier _avolume _bnc |
||
| 504 | _aIncludes bibliographical references. | ||
| 505 | _a1. Organizing Your Data Science Project ‡ 2. Preparing Your Data Structure ‡ 3. Building Your ML Architecture ‡ 4. Bye‑Bye Scheduler, Welcome Airflow ‡ 5. Organizing Your Data Science Project Structure ‡ 6. Feature Store for ML ‡ 7. Serving ML as API. | ||
| 520 | _aPractical guide introducing production‑ready full‑stack ML pipelines using Python. Covers feature engineering, dataops, Airflow, Dask, MLflow, SageMaker, FastAPI, and scalable API deployment.:contentReference[oaicite:1]{index=1} | ||
| 650 |
_aMachine learning _xImplementation. _960427 |
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| 650 |
_aPython (Computer program language) _xProgramming. _960429 |
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| 942 |
_2ddc _cBK |
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| 999 |
_c11065 _d11065 |
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