Paperback. Pub Date :2014-04-01 Pages: 352 Language: Chinese Publisher: China Machine Press. Introduction to Machine Learning (the original book version 2) discussed in statistical machine learning. pattern recognition. neural networks. artificial intelligence applications in different areas such as signal processing. which covers the supervised learning. Bayesian decision theory. parametric methods. multivariate methods. multilayer perceptrons. local models. hidden Markov models. assessing and comparing classification algorithms. and enhance learning. Introduction to Machine Learning (the original book version 2) available to complete the computer programming. probability theory. calculus and linear algebra courses of undergraduate and graduate students. but also for machine learning are interested in engineering and technical officers . Contents: Introduction to Machine Le...
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paperback. Condition: New. Paperback. Pub Date :2014-04-01 Pages: 352 Language: Chinese Publisher: China Machine Press. Introduction to Machine Learning (the original book version 2) discussed in statistical machine learning. pattern recognition. neural networks. artificial intelligence applications in different areas such as signal processing. which covers the supervised learning. Bayesian decision theory. parametric methods. multivariate methods. multilayer perceptrons. local models. hidden Markov models. assessing a. Seller Inventory # BX057835
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