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Theconceptsections of this book primarily require knowledge of calculus. However, some require an understanding of probability (think maximum likelihood and Bayes’ Rule) and basic linear algebra (think matrix operations and dot products). The appendix reviews themathandprobabilityneeded to understand th...
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Mathematics and Statistics:Khan says that knowledge of math is ESSENTIAL for AI, and examples of such skills are linear algebra, probability, and statistical methods. Machine learning and Deep learning of Artificial Intelligence Concepts: Learning about another class of AI, known as machine learning,...