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Proceedings of the 6th International Conference on Data Science, Machine Learning and Applications- Volume 1 : ICDSMLA 2024, 13–14 December, Tirupati, India / edited by Amit Kumar, Vinit Kumar Gunjan, Sabrina Senatore, Yu-Chen Hu.
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Author/Creator:
- Kumar, Amit.
- Series:
- Lecture Notes in Electrical Engineering, 1876-1119 ; 1528
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computational intelligence.
- Business information services.
- Neural networks (Computer science).
- Internet of things.
- Quantitative research.
- Artificial Intelligence.
- Computational Intelligence.
- IT in Business.
- Mathematical Models of Cognitive Processes and Neural Networks.
- Internet of Things.
- Data Analysis and Big Data.
- Local Subjects:
- Artificial Intelligence.
- Computational Intelligence.
- IT in Business.
- Mathematical Models of Cognitive Processes and Neural Networks.
- Internet of Things.
- Data Analysis and Big Data.
- Physical Description:
- 1 online resource (852 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
- Summary:
- This book includes peer reviewed articles from the 6th International Conference on Data Science, Machine Learning and Applications, 2024, held at Tirupati on 13-14th December, in 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9558-31-X
- 9789819558315
- OCLC:
- 1574120633
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