Introduction to Algorithms for Data Mining and Machine Learning

This book PDF is perfect for those who love Mathematics genre, written by Xin-She Yang and published by Academic Press which was released on 15 July 2019 with total hardcover pages 188. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Introduction to Algorithms for Data Mining and Machine Learning books below.

Introduction to Algorithms for Data Mining and Machine Learning
Introduction to Algorithms for Data Mining and Machine Learning
Author : Xin-She Yang
File Size : 52,9 Mb
Publisher : Academic Press
Language : English
Release Date : 15 July 2019
ISBN : 9780128172162
Pages : 188 pages
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Introduction to Algorithms for Data Mining and Machine Learning by Xin-She Yang Book PDF Summary

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

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

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

Get Book
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