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020 _a9781492098058
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020 _a1492098051
035 _a(OCoLC)on1350635862
040 _aUKMGB
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082 0 4 _a006.31 PRO
_223
_b24733
100 1 _aProsise, Jeff,
_eauthor.
_1https://isni.org/isni/0000000037775329
245 1 0 _aApplied machine learning and AI for engineers :
_bsolve business problems that can't be solved algorithmically /
_cJeff Prosise ; foreword by Adam Prosise.
246 3 _aApplied machine learning and artificial intelligence for engineers
250 _aFirst edition.
264 1 _aSebastopol, CA :
_bO'Reilly Media,
_c2022.
264 4 _c©2023
300 _axx, 400 pages :
_billustrations (some color) ;
_c24 cm
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 _aPart 1. Machine learning with Schikit-learn. Machine learning -- Regression models -- Classification models -- Text classification -- Support vector machines -- Principal component analysis -- Operationalizing machine learning models -- Part 2. Deep learning with Keras and TensorFlow. Deep learning -- Neural networks -- Image classification with convolutional neural networks -- Face detection and recognition -- Object detection -- Natural language processing -- Azure cognitive services.
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.
650 0 _aMachine learning.
650 0 _aArtificial intelligence.
650 7 _aArtificial intelligence
_2fast
_0(OCoLC)fst00817247
650 7 _aMachine learning.
_2fast
_0(OCoLC)fst01004795
700 1 _aProsise, Adam,
_ewriter of foreword.
852 _p10004000024733
906 _a0
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