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Books like Machine Learning Proceedings 1995 by Machine Learning


First publish date: 1995
Authors: Machine Learning
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Machine Learning Proceedings 1995 by Machine Learning

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Books similar to Machine Learning Proceedings 1995 (8 similar books)

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Deep Learning is a comprehensive textbook that equips students and practitioners with the foundational knowledge and practical skills needed to enter the fields of machine learning and deep learning.

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Machine learning by 4295122|Ethem Alpaydin book cover

📘 Machine learning
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A clear, concise guide to the fundamentals of machine learning, the branch of artificial intelligence that designs computer programs capable of learning from data and underpinning modern technologies like recommendation systems, face‑recognition, and autonomous vehicles.

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Machine Learning Proceedings 1993 by 7340879|Machine Learning book cover

📘 Machine Learning Proceedings 1993
 by Machine Learning


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Books like Machine Learning Proceedings 1993
Introduction to Machine Learning by 4295122|Ethem Alpaydin book cover

📘 Introduction to Machine Learning
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Machine learning by 9713187|European Conference on Machine Learning (12th 2001 Freiburg, Germany) book cover

📘 Machine learning
 by European Conference on Machine Learning (12th 2001 Freiburg, Germany)


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Pattern Recognition and Machine Learning by 8824929|Christopher M. Bishop book cover

📘 Pattern Recognition and Machine Learning
 by Christopher M. Bishop


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Machine Learning Proceedings 1990 by 7340879|Machine Learning book cover

📘 Machine Learning Proceedings 1990
 by Machine Learning


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Bayesian reasoning and machine learning by 11367792|David Barber book cover

📘 Bayesian reasoning and machine learning
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A practical guide to Bayesian methods in machine learning, tailored for undergraduates and graduate students with modest math backgrounds.

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Some Other Similar Books

The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani, Jerome Friedman
Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
An Introduction to Statistical Learning: with Applications in R by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Reinforcement Learning: An Introduction by Richard S. Sutton, Andrew G. Barto
Neural Networks and Deep Learning: A Textbook by Charu C. Aggarwal
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