Mathematical and statistical methods for data science and machine learning / Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman.
Material type: TextSeries: Chapman & Hall/CRC machine learning & pattern recognitionPublication details: Boca Raton CRC Press 2020Edition: First editionDescription: pages cmISBN:- 9781138492530
- 006.31 23 KRO
Item type | Current library | Home library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Book | Dept. of Computer Science Reference | Dept. of Computer Science | 006.31 KRO (Browse shelf(Opens below)) | Available | DCS4941 |
Browsing Dept. of Computer Science shelves, Shelving location: Reference Close shelf browser (Hides shelf browser)
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.