Python for Mathematical Thinking - Balasubramanian Raman
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Présentation Python For Mathematical Thinking de Balasubramanian Raman Format Relié
- Livre Technologie
Résumé :
This book offers a rigorous yet approachable pathway to applying Python for mathematical problem-solving, spanning foundational concepts to advanced theoretical frameworks. It bridges the gap between abstract mathematics and computational execution, guiding readers through a logically structured, step-by-step journey. Emphasizing mathematical reasoning, symbolic computation, and real-world problem modeling, it equips readers to analyze, simulate, and visualize complex structures with clarity and efficiency. Ideal for students, researchers, and professionals in Mathematics, Data Science, AI, Physics, and Computational Science, it cultivates both programming skill and deep mathematical intuition....
Biographie:
Dr. Pradeep Singh is a National Post-Doctoral Fellow and Principal Investigator at the Machine Intelligence Lab, Department of Computer Science and Engineering at the Indian Institute of Technology Roorkee (IIT) Roorkee. His research spans Geometric Deep Learning, Neuro-symbolic AI, and Dynamical Systems, funded by the Anusandhan National Research Foundation (ANRF), Department of Science and Technology, India. His research has appeared in IEEE Transactions, Biomedical Signal Processing and Control, Computers & Geosciences, Journal of Forecasting, ECAI and ACM Multimedia, contributing to the wider dialogue in AI and dynamical-systems research. He has co-authored books such as Deep Learning Through the Prism of Tensors, The Geometry of Intelligence: Foundations of Transformer Networks, and Machine Learning and Artificial Intelligence. He earned his Ph.D. (2022) and Master&rsquo...
Sommaire: Introduction.- Mathematical Foundations in Python.- Calculus with Python.- Data Structures and Algorithms with Python.- Probability and Statistics.- Differential Equations.- Discrete Mathematics and Combinatorics.- Numerical Methods.- Chaos Theory and Dynamical Systems.- Data Science and Machine Learning.- Advanced Topics.
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