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Téléchargez le livre : Data Classification and Incremental Clustering in Data Mining and Machine Learning

Data Classification and Incremental Clustering in Data Mining and Machine Learning

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Éditeur :

Springer


Collection :

EAI/Springer Innovations in Communication and Computing

Paru le : 2022-05-10

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Description
This book is a comprehensive, hands-on guide to the basics of data mining and machine learning with a special emphasis on supervised and unsupervised learning methods. The book lays stress on the new ways of thinking needed to master in machine learning based on the Python, R, and Java programming platforms. This book first provides an understanding of data mining, machine learning and their applications, giving special attention to classification and clustering techniques. The authors offer a discussion on data mining and machine learning techniques with case studies and examples. The book also describes the hands-on coding examples of some well-known supervised and unsupervised learning techniques using three different and popular coding platforms: R, Python, and Java. This book explains some of the most popular classification techniques (K-NN, Naïve Bayes, Decision tree, Random forest, Support vector machine etc,) along with the basic description of artificial neural network and deep neural network. The book is useful for professionals, students studying data mining and machine learning, and researchers in supervised and unsupervised learning techniques.
Pages
196 pages
Collection
EAI/Springer Innovations in Communication and Computing
Parution
2022-05-10
Marque
Springer
EAN papier
9783030930875
EAN PDF
9783030930882
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
5724 Ko
Prix
84,39 €
EAN EPUB
9783030930882
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
13896 Ko
Prix
84,39 €

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