Decision Mathematics, Statistical Learning and Data Mining

Decision Mathematics, Statistical Learning and Data Mining
Author :
Publisher : Springer Nature
Total Pages : 385
Release :
ISBN-10 : 9789819734504
ISBN-13 : 9819734509
Rating : 4/5 (509 Downloads)

Book Synopsis Decision Mathematics, Statistical Learning and Data Mining by : Wan Fairos Wan Yaacob

Download or read book Decision Mathematics, Statistical Learning and Data Mining written by Wan Fairos Wan Yaacob and published by Springer Nature. This book was released on with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Decision Mathematics, Statistical Learning and Data Mining Related Books

Decision Mathematics, Statistical Learning and Data Mining
Language: en
Pages: 385
Authors: Wan Fairos Wan Yaacob
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Data Science and Machine Learning
Language: en
Pages: 538
Authors: Dirk P. Kroese
Categories: Business & Economics
Type: BOOK - Published: 2019-11-20 - Publisher: CRC Press

DOWNLOAD EBOOK

Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked
The Elements of Statistical Learning
Language: en
Pages: 545
Authors: Trevor Hastie
Categories: Mathematics
Type: BOOK - Published: 2013-11-11 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such
Statistical Learning with Math and Python
Language: en
Pages: 261
Authors: Joe Suzuki
Categories: Computers
Type: BOOK - Published: 2021-08-03 - Publisher: Springer Nature

DOWNLOAD EBOOK

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textb
Mathematics for Machine Learning
Language: en
Pages: 392
Authors: Marc Peter Deisenroth
Categories: Computers
Type: BOOK - Published: 2020-04-23 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti