JeffWang0325/Microsoft-DAT256X-Essential-Math-for-Machine-Learning-Python-Edition
Machine learning and AI are built on mathematical principles like Calculus, Linear Algebra, Probability, Statistics, and Optimization. This course aims to help you learn some essential foundational concepts and the notation used to express them.
This course helps aspiring AI practitioners understand the core mathematical concepts underpinning machine learning and artificial intelligence. It takes complex mathematical ideas like calculus and linear algebra and demonstrates their practical application with data using Python. This is for anyone looking to enter the fields of machine learning or AI, especially those who need to refresh or build foundational math skills.
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Use this if you are studying machine learning or AI and need to grasp the essential mathematical principles and notation required, without becoming a mathematician.
Not ideal if you are looking for a comprehensive math curriculum to replace formal education, or if you already have a strong grasp of university-level calculus, linear algebra, statistics, and probability.
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