Introduction to Algorithms for Data Mining and Machine Learning

Introduction to Algorithms for Data Mining and Machine Learning
Author :
Publisher : Academic Press
Total Pages : 188
Release :
ISBN-10 : 9780128172179
ISBN-13 : 0128172177
Rating : 4/5 (177 Downloads)

Book Synopsis Introduction to Algorithms for Data Mining and Machine Learning by : Xin-She Yang

Download or read book Introduction to Algorithms for Data Mining and Machine Learning written by Xin-She Yang and published by Academic Press. This book was released on 2019-06-17 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and machine learning, along with optimization techniques. Its strong formal mathematical approach, well selected examples, and practical software recommendations help readers develop confidence in their data modeling skills so they can process and interpret data for classification, clustering, curve-fitting and predictions. Masterfully balancing theory and practice, it is especially useful for those who need relevant, well explained, but not rigorous (proofs based) background theory and clear guidelines for working with big data. Presents an informal, theorem-free approach with concise, compact coverage of all fundamental topics Includes worked examples that help users increase confidence in their understanding of key algorithms, thus encouraging self-study Provides algorithms and techniques that can be implemented in any programming language, with each chapter including notes about relevant software packages


Introduction to Algorithms for Data Mining and Machine Learning Related Books

Introduction to Algorithms for Data Mining and Machine Learning
Language: en
Pages: 188
Authors: Xin-She Yang
Categories: Mathematics
Type: BOOK - Published: 2019-06-17 - Publisher: Academic Press

DOWNLOAD EBOOK

Introduction to Algorithms for Data Mining and Machine Learning introduces the essential ideas behind all key algorithms and techniques for data mining and mach
Automating the Design of Data Mining Algorithms
Language: en
Pages: 198
Authors: Gisele L. Pappa
Categories: Computers
Type: BOOK - Published: 2009-10-27 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interestin
Data Mining Algorithms
Language: en
Pages: 717
Authors: Pawel Cichosz
Categories: Mathematics
Type: BOOK - Published: 2015-01-27 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classificatio
Data Mining
Language: en
Pages: 353
Authors: Nong Ye
Categories: Business & Economics
Type: BOOK - Published: 2013-07-26 - Publisher: CRC Press

DOWNLOAD EBOOK

New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these
Data Mining and Machine Learning
Language: en
Pages: 779
Authors: Mohammed J. Zaki
Categories: Business & Economics
Type: BOOK - Published: 2020-01-30 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.