Ditemukan 648 dokumen yang sesuai dengan query
Maslov, Dmitrii Petrovich
Moscow: MIR Publishers, 1967
621.7 MAS e (1)
Buku Teks Universitas Indonesia Library
Shigley, Joseph Edward
Boston: McGraw-Hill, 2003
621.815 SHI m
Buku Teks Universitas Indonesia Library
Black, Perry O.
Indianpolis: T. Audel, 1965
621.75 BLA a
Buku Teks Universitas Indonesia Library
"
Written by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine learning in adversarial environments. Discover how machine learning systems can adapt when an adversary actively poisons data to manipulate statistical inference, learn the latest practical techniques for investigating system security and performing robust data analysis, and gain insight into new approaches for designing effective countermeasures against the latest wave of cyber-attacks. Privacy-preserving mechanisms and the near-optimal ...
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Cambridge: Cambridge University Press, 2019
006.31 ADV
Buku Teks Universitas Indonesia Library
Goodfellow, Ian
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"Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies ...
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Cambridge, Massachusetts: The MIT Press, 2016
006.31 GOO d
Buku Teks Universitas Indonesia Library
Bowles, Michael
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Machine learning focuses on predition-- using what you know to predict what you would like to know based on historical relationships between the two. At its core, it's a mathematical/algorithm-based technology that, until recently, required a deep understanding of math and statistical concepts, and fluency in R and other specialized languages. "Machine learning with Spark and Python" simplifies machine learning for a broader audience and wider application by focusing on two algorithm families that effectively ...
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Indianapolis: Wiley, 2020
006.31 BOW m
Buku Teks Universitas Indonesia Library
Youssef Hamadi, editor
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This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Learning and Intelligent Optimization, LION 6, held in Paris, France, in January 2012. The 23 long and 30 short revised papers were carefully reviewed and selected from a total of 99 submissions. The papers focus on the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. In addition to the paper contributions the ...
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Berlin: Springer, 2012
e20406981
eBooks Universitas Indonesia Library
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This open access book summarizes the results of the European research project Twin-model based virtual manufacturing for machine tool-process simulation and control (Twin-Control). The first part reviews the applications of ICTs in machine tools and manufacturing, from a scientific and industrial point of view, and introduces the Twin-Control approach, while Part 2 discusses the development of a digital twin of machine tools. The third part addresses the monitoring and data management infrastructure of machines and ...
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Switzerland: Springer Nature, 2019
e20509515
eBooks Universitas Indonesia Library
New York: McGraw-Hill, 1959
R 620.04 PRO
Buku Referensi Universitas Indonesia Library
Walsh, Ronald A.
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Buku yang berjudul "McGraw-Hill machining and metalworking handbook" ini ditulis oleh Ronald A. Walsh. Buku ini merupakan sebuah buku panduan mengenai mesin ...
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New York: McGraw-Hill, 1994
R 671.35 WAL m
Buku Referensi Universitas Indonesia Library