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| 003 | BD-DhAAL | ||
| 005 | 20250909125424.0 | ||
| 008 | 250909t20252025nyua 001 0 eng d | ||
| 010 | _a 2025388480 | ||
| 020 | _a9781633438750 | ||
| 020 | _a1633438759 | ||
| 035 | _a24197169 | ||
| 035 | _a(OCoLC)1499838389 | ||
| 040 |
_aNjBwBT _beng _erda _cOQX _dOCLCO _dBDX _dJRZ _dIND _dOCLCQ _dDLC _dBD-DhAAL |
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| 042 | _alccopycat | ||
| 050 | 0 | 0 |
_aQ325.5 _b.B235 2025 |
| 082 | 0 | 4 |
_a006.31 _223 |
| 100 | 1 |
_aBabushkin, Valerii, _eauthor. _959265 |
|
| 245 | 1 | 0 |
_aMachine learning system design : _bwith end-to-end examples / _cValerii Babushkin, Arseny Kravchenko. |
| 260 |
_aShelter Island, NY : _bManning, _c©2025 |
||
| 300 |
_axxi, 351 pages : _billustrations ; _c24 cm |
||
| 500 | _aIncludes index. | ||
| 505 | 0 | _aPart 1. Preparations. Essentials of machine learning system design -- Is there a problem? -- Preliminary research -- Design document -- Part 2. Early stage. Loss functions and metrics -- Gathering datasets -- Validation schemas -- Baseline solution -- Part 3. Intermediate steps. Error analysis -- Training pipelines -- Features and feature engineering -- Measuring and reporting results -- Part 4. Integration and growth. Integration -- Monitoring and reliability -- Serving and inference optimization -- Ownership and maintenance. | |
| 520 | _a"Designing and delivering a machine learning system is an intricate multistep process that requires many skills and roles. Whether you're an engineer adding machine learning to an existing application or designing a ML system from the ground up, you need to navigate massive datasets and streams, lock down testing and deployment requirements, and master the unique complexities of putting ML models into production. That's where this book comes in. Machine Learning System Design shows you how to design and deploy a machine learning project from start to finish. You'll follow a step-by-step framework for designing, implementing, releasing, and maintaining ML systems. As you go, requirement checklists and real-world examples help you prepare to deliver and optimize your own ML systems. You'll especially love the campfire stories and personal tips, and ML system design interview tips"-- | ||
| 526 | _aCSE | ||
| 650 | 0 |
_aMachine learning _xDesign. _959266 |
|
| 650 | 0 | _aMachine learning. | |
| 650 | 0 | _aSystem design. | |
| 650 | 6 |
_aApprentissage automatique. _959267 |
|
| 650 | 6 |
_aComputer science. _959268 |
|
| 700 | 1 |
_aKravchenko, Arseny, _eauthor. _959269 |
|
| 776 | 0 | 8 |
_iOnline version: _aBabushkin, Valerii. _tMachine learning system design. _b[First edition]. _dShelter Island, NY : Manning Publications, [2025] _z9781633438750 _w(OCoLC)1498526194 |
| 942 |
_2ddc _cBK |
||
| 999 |
_c47428 _d47428 |
||