Introduction to Algorithms for Data Mining and Machine Learning

Häftad, Engelska, 2019

AvXin-She Yang,UK) Yang, Xin-She (School of Science and Technology, Middlesex University

909 kr

Beställningsvara. Skickas inom 7-10 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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

Produktinformation

Utgivningsdatum2019-06-19
Mått152 x 229 x 19 mm
Vikt320 g
FormatHäftad
SpråkEngelska
Antal sidor188
FörlagElsevier Science
ISBN9780128172162

Tillhör följande kategorier

Tillämpad matematik inom Naturvetenskap och teknik
Systemvetenskap och AI inom Data och IT
Programmeringsböcker inom Data och IT
Databaser inom Data och IT

Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader in Modelling and Simulation at Middlesex University London, Fellow of the Institute of Mathematics and its Application (IMA) and a Book Series Co-Editor of the Springer Tracts in Nature-Inspired Computing. He has published more than 25 books and more than 400 peer-reviewed research publications with over 82000 citations, and he has been on the prestigious list of highly cited researchers (Web of Sciences) for seven consecutive years (2016-2022).

Mer från samma författare

Metaheuristic Applications in Structures and Infrastructures

Xin-She Yang, Siamak Talatahari, Amir Hossein Alavi, UK) Yang, Xin-She (School of Science and Technology, Middlesex University, Australia.) Talatahari, Siamak (Department of Civil Engineering, University of Tabriz, Tabriz, Iran.<br>School of Civil and Environment Engineering, University of New South Wales, Sydney, USA) Alavi, Amir Hossein (Department of Civil and Environmental Engineering, Department of Bioengineering, University of Pittsburgh, Pittsburgh, Amir Hossein Gandomi

Inbunden

939 kr

Swarm Intelligence and Bio-Inspired Computation

Xin-She Yang, Zhihua Cui, Renbin Xiao, Amir Hossein Gandomi, Mehmet Karamanoglu, UK) Yang, Xin-She (School of Science and Technology, Middlesex University, China) Cui, Zhihua (Taiyuan University of Science and Technology, Shanxi, China) Xiao, Renbin (Huazhong University of Science and Technology, Wuhan, Australia) Gandomi, Amir Hossein (University of Technology Sydney, UK) Karamanoglu, Mehmet (Middlesex University, London

Inbunden

1 339 kr

Bio-Inspired Computation in Telecommunications

Xin-She Yang, Su Fong Chien, T.O. Ting, UK) Yang, Xin-She (School of Science and Technology, Middlesex University, Malaysia) Chien, Su Fong (Associate Professor of Engineering & Technology, Multimedia University, Selangor, China) Ting, T.O. (Lecturer, Department of Electrical and Electronic Engineering, Xian Jiaotong-Liverpool University, Jiangsu

Häftad

1 389 kr

Bio-Inspired Computation and Applications in Image Processing

Xin-She Yang, Jo�o Paulo Papa, João Paulo Papa, UK) Yang, Xin-She (School of Science and Technology, Middlesex University, USA) Papa, Joao Paulo (Assistant Professor, Sao Paulo State University (UNESP), Brazil; Visiting scholar, Harvard University, Cambridge, MA, João

Inbunden

1 599 kr