Related Books
Language: en
Pages: 640
Pages: 640
Type: BOOK - Published: 2020-12-14 - Publisher: Springer Nature
This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes includin
Language: en
Pages: 496
Pages: 496
Type: BOOK - Published: 2016-06-07 - Publisher: Morgan Kaufmann
Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book ide
Language: en
Pages: 364
Pages: 364
Type: BOOK - Published: 2015-10-20 - Publisher: Springer
This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tr
Language: en
Pages: 113
Pages: 113
Type: BOOK - Published: 2020-11-27 - Publisher: Springer Nature
This book constitutes refereed proceedings of the First International First International Conference on Big Data, Machine Learning, and Applications, BigDML 201
Language: en
Pages: 241
Pages: 241
Type: BOOK - Published: 2022-03-09 - Publisher: CRC Press
In the last two decades, machine learning has developed dramatically and is still experiencing a fast and everlasting change in paradigms, methodology, applicat