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 Title: Statistical Foundations of Machine Learning: The Handbook
 Author(s): Gianluca Bontempi
 Publisher: Universite Libre de Bruxelles (February 15, 2022)
 Hardcover/Paperback: N/A
 eBook: PDF (364 pages)
 Language: English
 ISBN10: N/A
 ISBN13: N/A
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Book Description
We are in the era of big data. There are essentially two reasons why people gather increasing volumes of data: first, they think some valuable assets are implicitly coded within them, and second computer technology enables effective data storage at reduced costs.
The procedure for finding useful patterns in data is known by different names in different communities but more and more, the set of computational techniques and tools to support the modelling of large amount of data is grouped under the label of machine learning.
This book aims to present the statistical foundations of machine learning intended as the discipline which deals with the automatic design of models from data. In particular, we focus on supervised learning problems, where the goal is to model the relation between a set of input variables, and one or more output variables, which are considered to be dependent on the inputs in some manner.
About the AuthorsN/A
 Statistics, Mathematical Statistics, and SAS Programming
 Machine Learning
 Big Data
 Data Analysis and Data Mining
 The R Programming Language
 Statistical Foundations of Machine Learning: The Handbook (Gianluca Bontempi)
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