McGraw Hill
McGraw Hill
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Artificial Intelligence Techniques in Mathematical Modeling and Optimization offers a dynamic and comprehensive examination of the intersection between artificial intelligence and mathematical modeling.
Discrete Mathematics for Data Science provides an early course in both Data Science and Discrete Mathematics, focusing on how a deeper understanding of the former can unlock a more effective implementation of the latter.
This book challenges mathematical skills in a totally different way from the usual geometric puzzles. Across 5 chapters, there are 120 visually intriguing puzzles, each one corresponding to a level of difficulty, from the very easy to the very hard.
