000 | 01623 a2200241 4500 | ||
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005 | 20250902161146.0 | ||
008 | 250902b ||||| |||| 00| 0 eng d | ||
020 | _a9789355422354 | ||
041 | _aeng | ||
082 | _a006.31 PRO/A | ||
100 |
_aProsise, Jeff _914564 |
||
245 | _aApplied machine learning and AI for engineers: solve business problems that can't be solved algorithmically | ||
260 |
_bO'Reilly Media _aSebastopol, CA _cc2023 |
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300 | _axx, 400p.; 23cm. | ||
520 | _aWhile many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company. Applied Machine Learning and AI for Engineers provides examples and illustrations from the AI and ML course Prosise teaches at companies and research institutions worldwide. There's no fluff and no scary equations—just a fast start for engineers and software developers, complete with hands-on examples. | ||
650 |
_aComputers science _914565 |
||
650 |
_aData science _96504 |
||
650 |
_aMachine learning _91055 |
||
650 |
_aArtificial intelligence _91643 |
||
700 |
_aProsise, Adam (Forwarded) _914566 |
||
856 | _uhttps://www.oreilly.com/library/view/applied-machine-learning/9781492098041/ | ||
942 | _cBK |