Practical mathematics for AI and deep learning /
Tamoghna Ghosh and Shravan Kumar Belagal Math.
- First edition.
- xxiv, 504 pages : illustrations ; 24 cm.
Tamoghna is an AI Software Solutions Engineer in Client Computing Group at Intel and has 15 years of work experience. He has a master’s in computer science from Indian Statistical Institute and a master’s in mathematics form Calcutta University. He has 4 US patents, 3 IEEE papers and has also authored book on Transfer learning. Shravan is currently an AI Engineer at Intel’s Client Computing Group with 11 years of working experience. He had Master of Engineering degree from Indian Institute of Science, Computer Science and Automation department. He has been granted with 4 US patents. His interest lies in application of AI algorithms to solve real world problems.
Includes index.
1. Overview of AI -- 2. Linear algebra -- 3. Vector calculus -- 4. Basic statistics and probability theory -- 5. Statistical inference and applications -- 6. Neural networks -- 7. Clustering -- 8. Dimensionality Reduction -- 9. Computer vision -- 10. Sequence learning models -- 11. Natural language processing -- 12. Generative models -- Index.