Amazon cover image
Image from Amazon.com
Image from Google Jackets
Image from OpenLibrary

Mathematical and statistical methods for data science and machine learning / Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman.

By: Contributor(s): Material type: TextTextSeries: Chapman & Hall/CRC machine learning & pattern recognitionPublication details: Boca Raton CRC Press 2020Edition: First editionDescription: pages cmISBN:
  • 9781138492530
Subject(s): DDC classification:
  • 006.31 23 KRO
Summary: "The purpose of this book is to provide an accessible, yet comprehensive, account of data science and machine learning. It is intended for anyone interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science"--
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computer Science Reference Dept. of Computer Science 006.31 KRO (Browse shelf(Opens below)) Available DCS4941

Includes bibliographical references and index.

"The purpose of this book is to provide an accessible, yet comprehensive, account of data science and machine learning. It is intended for anyone interested in gaining a better understanding of the mathematics and statistics that underpin the rich variety of ideas and machine learning algorithms in data science"--

There are no comments on this title.

to post a comment.