Machine Learning Theoretical Foundations and Practical Applications is popular PDF and ePub book, written by Manjusha Pandey in 2021-04-19, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Machine Learning Theoretical Foundations and Practical Applications can be Read Online from any device for your convenience.
Machine Learning Theoretical Foundations and Practical Applications Book PDF Summary
This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9–12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms.
Detail Book of Machine Learning Theoretical Foundations and Practical Applications PDF
- Author : Manjusha Pandey
- Release : 19 April 2021
- Publisher : Springer Nature
- ISBN : 9789813365186
- Genre : Technology & Engineering
- Total Page : 172 pages
- Language : English
- PDF File Size : 13,6 Mb
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