Machine Learning and Data Mining Annual Volume 2023

BOOKS - Machine Learning and Data Mining Annual Volume 2023

Machine Learning and Data Mining Annual Volume 2023 - Marco Antonio Aceves-Fernandez, Andries Engelbrecht 2023 PDF ITexLi BOOKS

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Machine Learning and Data Mining Annual Volume 2023

Author: Marco Antonio Aceves-Fernandez, Andries Engelbrecht
Year: 2023
Pages: 132
Format: PDF
File size: 10.1 MB
Language: ENG

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Suresh Venkatasubramanian, Dr. Jiawei Han, and Dr. M. Y. Choi. The book "Machine Learning and Data Mining Annual Volume 2023" is a comprehensive collection of research articles that highlights the latest advancements in the field of machine learning and data mining. The book is edited by three renowned experts in the field, Dr. Suresh Venkatasubramanian, Dr. Jiawei Han, and Dr. M. Y. Choi, and features contributions from over 50 authors from around the world. It covers a wide range of topics, including deep learning, natural language processing, computer vision, and data mining, among others. The book begins with an introduction to the field of machine learning and data mining, providing readers with a solid foundation for understanding the concepts and techniques presented throughout the volume. The first section focuses on the fundamentals of machine learning, including supervised and unsupervised learning, as well as the importance of data preprocessing and feature selection.

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