by
Murphy, Kevin P., 1970-
Format:
Books
Publication Date
2012
Excerpt:
Machine learning : a probabilistic perspective / Murphy, Kevin P., 1970-
by
Gyorfi, László.
Format:
Books
Publication Date
2012
Excerpt:
Machine learning for financial engineering / Gyorfi, László.
by
Müller, Andreas C., author.
Format:
Books
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2017 2016
Excerpt:
Introduction to machine learning with Python : a guide for data scientists / Müller, Andreas C
by
Rubinstein, Reuven Y.
Format:
Books
Publication Date
2004
Excerpt:
Unified approach to combinatorial optimization, Monte-Carlo simulation, and machine learning
by
Witten, I. H. (Ian H.)
Format:
Books
Publication Date
2011
Excerpt:
Data mining : practical machine learning tools and techniques / Witten, I. H. (Ian H.)
by
Śreshṭha, Durgālāla.
Format:
Books
Publication Date
2010
Excerpt:
Uncertainty analysis in rainfall-runoff modelling : application of machine learning techniques /
by
Witten, I. H. (Ian H.)
Publisher description http://www.loc.gov/catdir/enhancements/fy0624/2005043385-d.html
Table of contents only http://www.loc.gov/catdir/enhancements/fy0624/2005043385-t.html
Table of contents only http://www.loc.gov/catdir/enhancements/fy0624/2005043385-t.html
Format:
Books
Publication Date
2005
Excerpt:
Data mining : practical machine learning tools and techniques / Witten, I. H. (Ian H.)
by
Hand, D. J. (David J.), 1950-
Format:
Books
Publication Date
2001
Excerpt:
Adaptive computation and machine learning
by
Chaffey, Dave, 1963- author.
Format:
Books
Publication Date
2023
Excerpt:
, Machine Learning and Artificial Intelligence. Including new international case studies and up
by
Pressman, Roger S., author.
Format:
Books
Publication Date
2020
Excerpt:
.Kinds of Patterns -- 14.1.2.Frameworks -- 14.1.3.Describing a Pattern -- 14.1.4.Machine Learning and
by
Sherif, Ahmed.
Format:
Electronic Resources
Publication Date
2018
Excerpt:
Apache Spark deep learning cookbook : over 80 recipes that streamline deep learning in a
by
Dainton, Marianne.
Format:
Books
Publication Date
2015
Excerpt:
Machine generated contents note: 1.Introduction to Communication Theory -- Learning Objectives
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