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[중고-상] MACHINE LEARNING FOR OPENCV
Michael Beyeler | Packt Publishing Limited
42,000원→16,900원(60%)
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[중고-상] MACHINE LEARNING (A PROBABILISTIC PERSPECTIVE)
Kevin P. Murphy | Mit Pr
212,500원→110,600원(48%)
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[중고-최상] Deep Learning (Hardcover)
Ian Goodfellow | Mit Pr
97,000원→45,800원(53%)
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[중고-최상] Deep Learning (Hardcover)
Ian Goodfellow | Mit Pr
97,000원→45,800원(53%)
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[중고-상] MACHINE LEARNING (A PROBABILISTIC PERSPECTIVE)
Kevin P. Murphy | Mit Pr
220,310원→77,600원(65%)
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[중고-상] Introduction to the Theory of Computation (Hardcover, 3)
Sipser, Michael | Course Technology Ptr
523,500원→148,000원(72%)
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[중고-상] An Introduction to Computational Learning Theory (Hardcover)
Michael J. Kearns | Mit Pr
49,000원→21,000원(57%)
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[중고-상] Human and Machine Hearing : Extracting Meaning from Sound (Hardcover)
Richard F. Lyon | Cambridge University Press
169,920원→80,000원(53%)
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[중고-중] NEURAL NETWORKS AND DEEP LEARNING
Charu C. Aggarwal | Springer International Publishing AG
115,350원→22,600원(80%)
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[중고-중] Bayesian Reasoning and Machine Learning (Hardcover)
David Barber | Cambridge University Press
157,040원→57,000원(64%)
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[중고-상] Advances in Financial Machine Learning (Hardcover)
Marcos Lopez de Prado | Wiley
105,850원→42,000원(60%)
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[중고-상] BAYESIAN NETWORKS AND DECISION GRAPHS PAPERBACK
Finn V. Jensen | Springer Verlag
199,350원→88,600원(56%)
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[중고-중] DECISION MAKING UNDER UNCERTAINTY (THEORY AND APPLICATION)
Mykel J. Kochenderfer | MIT Press
45,000원→18,300원(59%)
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[중고-상] Artificial Intelligence: A New Synthesis (Paperback)
Nils J. Nilsson | Morgan Kaufmann Pub
123,710원→8,800원(93%)
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[중고-최상] AI Engineering: Building Applications with Foundation Models (Paperback)
칩 후옌 | O'Reilly Media
112,000원→38,000원(66%)
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[중고-상] THE WEAPONS OF MATH DESTRUCTION (HOW BIG DATA INCREASES INEQUALITY AND THREATENS DEMOCRACY)
Cathy O'neil | Penguin Books Ltd
19,800원→8,200원(59%)
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[중고-상] Artificial Intelligence : With an Introduction to Machine Learning, Second Edition (Hardcover, 2 ed)
Richard E. Neapolitan | Chapman & Hall
39,000원→24,000원(38%)
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[중고-중] Godel, Escher, Bach: An Eternal Golden Braid (Paperback, 20, Anniversary)
Douglas R. Hofstadter 지음 | Basic Books
39,900원→17,000원(57%)
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[중고-최상] Deep Reinforcement Learning Hands-On - Third Edition: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF (Paperback, 3)
Maxim Lapan | Packt Publishing
59,000원→26,800원(55%)
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[중고-상] REINFORCEMENT LEARNING WITH TENSORFLOW
Sayon Dutta | Packt Publishing Limited
78,000원→44,600원(43%)
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[중고-상] Fundamental Proof Methods in Computer Science: A Computer-Based Approach (Hardcover)
Konstantine Arkoudas | MIT Press Ltd
53,000원→22,000원(58%)
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[중고-상] Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and Mlops (Paperback)
Valliappa Lakshmanan | O'Reilly Media
119,600원→50,000원(58%)
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[중고-상] DESIGNING MACHINE LEARNING SYSTEMS WITH PYTHON
David Julian | Packt Publishing
29,000원→22,600원(22%)
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[중고-상] Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (Hardcover)
John D. Kelleher | MIT Press
152,000원→26,000원(83%)
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