Téléchargez le livre : Machine Learning and Big Data

Machine Learning and Big Data

Concepts, Algorithms, Tools and Applications

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Éditeur :

Wiley-Scrivener


Paru le : 2020-09-02



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Description

This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations.
The intent of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17 chapters are divided into 5 sections: Theoretical Fundamentals; Big Data and Pattern Recognition; Machine Learning: Algorithms & Applications; Machine Learning's Next Frontier and Hands-On and Case Study. While it dwells on the foundations of machine learning and big data as a part of analytics, it also focuses on contemporary topics for research and development. In this regard, the book covers machine learning algorithms and their modern applications in developing automated systems.
Subjects covered in detail include: Mathematical foundations of machine learning with various examples. An empirical study of supervised learning algorithms like Naïve Bayes, KNN and semi-supervised learning algorithms viz. S3VM, Graph-Based, Multiview. Precise study on unsupervised learning algorithms like GMM, K-mean clustering, Dritchlet process mixture model, X-means and Reinforcement learning algorithm with Q learning, R learning, TD learning, SARSA Learning, and so forth. Hands-on machine leaning open source tools viz. Apache Mahout, H2O. Case studies for readers to analyze the prescribed cases and present their solutions or interpretations with intrusion detection in MANETS using machine learning. Showcase on novel user-cases: Implications of Electronic Governance as well as Pragmatic Study of BD/ML technologies for agriculture, healthcare, social media, industry, banking, insurance and so on.
Pages
544 pages
Collection
n.c
Parution
2020-09-02
Marque
Wiley-Scrivener
EAN papier
9781119654742
EAN PDF
9781119654810
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
544
Taille du fichier
79299 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
230,99 €
EAN EPUB
9781119654797
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
544
Taille du fichier
26419 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
230,99 €

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