Machine Learning and Computational Methods: Theory and Applications

The book contains the proceedings of The International Conference of Mathematics and Data Science (ICMDS'25), a multidisciplinary, peer-reviewed conference that offers a platform for the exchange of cutting-edge research, the presentation of innovative ideas, and the discussion of future trends in mathematics and data science. ICMDS'25 brings together academic researchers, scientists, and professionals to share their latest findings, explore collaborative opportunities, and contribute to the advancement of both theoretical and applied aspects of the fields.

Machine Learning and Computational Methods: Theory and Applications features in the following genres: Optimization, Maths for computer scientists, Numerical analysis, Artificial intelligence, Maths for engineers, Business mathematics and systems, Discrete mathematics

Hardback. £197.99, down from the £219.99 cover price. Not Available.

Machine Learning and Computational Methods: Theory and Applications was written by Amine Laghrib, Abdelali Elmoufidi and published by Springer an imprint of Springer Nature Switzerland

Machine Learning and Computational Methods: Theory and Applications has 299 pages

Yes it is part of Springer Proceedings in Mathematics & Statistics series

£197.99, reduced from £219.99. Not Available.