Machine Learning: Theoretical Foundations and Practical Applications
Author | : Manjusha Pandey |
Publisher | : Springer Nature |
Total Pages | : 172 |
Release | : 2021-04-19 |
ISBN-10 | : 9789813365186 |
ISBN-13 | : 9813365188 |
Rating | : 4/5 (188 Downloads) |
Download or read book Machine Learning: Theoretical Foundations and Practical Applications written by Manjusha Pandey and published by Springer Nature. This book was released on 2021-04-19 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.