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portada Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 2. ICDSMLA 2023, 15–16 December, Hyderabad, India
Type
Physical Book
Collection
Lecture Notes in Electrical Engineering
Year
2024
Pages
1402
Format
Hardcover
Dimensions
23.50 x 15.50 cm
ISBN13
9789819780426

Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 2. ICDSMLA 2023, 15–16 December, Hyderabad, India

Amit Kumar;Yu-Chen Hu;Vinit Kumar Gunjan;Sabrina Senatore (Author) · Springer Nature · Hardcover

Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 2. ICDSMLA 2023, 15–16 December, Hyderabad, India - Amit Kumar;Yu-Chen Hu;Vinit Kumar Gunjan;Sabrina Senatore

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Synopsis "Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 2. ICDSMLA 2023, 15–16 December, Hyderabad, India"

ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications.

This book includes peer reviewed articles from the 5th International Conference on Data Science, Machine Learning and Applications, 2023, held at the G Narayanamma Institute of Technology and Sciences, Hyderabad on 15-16th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.

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