Télécharger le livre :  Supervised and Unsupervised Learning for Data Science
This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. Case studies and best practices are included along with theoretical...

Editeur : Springer
Parution : 2019-09-04
Collection : Unsupervised and Semi-Supervised Learning PDF, ePub

96,29

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Télécharger le livre :  Mixture Models and Applications
This book focuses on recent advances, approaches, theories and applications related to mixture models. In particular, it presents recent unsupervised and semi-supervised frameworks that consider mixture models as their main tool. The chapters considers mixture models...

Editeur : Springer
Parution : 2019-08-13
Collection : Unsupervised and Semi-Supervised Learning PDF, ePub

96,29

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Télécharger le livre :  Natural Computing for Unsupervised Learning
This book highlights recent research advances in unsupervised learning using natural computing techniques such as artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, artificial life, quantum computing, DNA computing, and...

Editeur : Springer
Parution : 2018-10-31
Collection : Unsupervised and Semi-Supervised Learning PDF, ePub

96,29

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Télécharger le livre :  Clustering Methods for Big Data Analytics
This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity...

Editeur : Springer
Parution : 2018-10-27
Collection : Unsupervised and Semi-Supervised Learning PDF, ePub

149,79

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