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The machine design problem solver
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ISBN: 0878916059 9780878916054 Year: 1988 Publisher: New York (N.Y.): Research and Education Association,

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Machine design


Book
La machine à traduire
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Year: 1959 Publisher: Paris: PUF,

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Deep learning cookbook : practical recipes to get started quickly
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ISBN: 9781491995846 149199584X Year: 2018 Publisher: Sebastopol: O'Reilly Media,

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Machine Learning


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Babel 2.0 : où va la traduction automatique ?
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ISBN: 9782738148490 2738148492 Year: 2019 Publisher: Paris : Odile Jacob,

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La question de la traduction automatique s'est posée dès la naissance de l'informatique. Elle semblait alors accessible, mais quiconque, aujourd'hui, utilise les traducteurs automatiques disponibles sur Internet sait que, malgré les remarquables progrès effectués, on est encore loin d'une traduction toujours fidèle. La complexité du langage naturel et ses ambiguïtés sont bien faites pour dérouter les algorithmes pleinement rationnels de nos ordinateurs. Les "réseaux de neurones" qui pratiquent l'"apprentissage profond" sont la dernière en date des multiples stratégies déployées pour parler avec la machine... et s'en faire comprendre.


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Machines séquentielles
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ISBN: 2040186131 9782040186135 Year: 1987 Publisher: Paris: Dunod,

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Stochastic optimization and control : proceedings of an advanced seminar
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Year: 1968 Publisher: New York: Wiley,

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Human-robot interaction
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ISBN: 0850668093 9780850668094 Year: 1992 Publisher: London: Taylor & Francis,

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Adversarial machine learning
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ISBN: 1107043468 9781107043466 Year: 2019 Publisher: Cambridge: Cambridge university press,

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"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 evasion of classifiers are discussed in detail, and in-depth case studies on email spam and network security highlight successful attacks on traditional machine learning algorithms. Providing a thorough overview of the current state of the art in the field, and possible future directions, this groundbreaking work is essential reading for researchers, practitioners and students in computer security and machine learning, and those wanting to learn about the next stage of the cybersecurity arms race"--

Readings in machine learning
Authors: ---
ISSN: 10491910 ISBN: 1558601430 9781558601437 Year: 1990 Publisher: San Mateo, Calif. Morgan Kaufmann

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Probabilistic machine learning : advanced topics
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ISBN: 0262048434 9780262048439 Year: 2023 Publisher: Cambridge, Massachusetts : The MIT Press,

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"An advanced book for researchers and graduate students working in machine learning and statistics that reflects the influence of deep learning"--

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