Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
This specialization helps individuals who want to build, understand, or apply AI and machine learning models, but feel held back by a lack of mathematical understanding. It takes you from basic high school math concepts to the core calculus, linear algebra, statistics, and probability needed for machine learning. You'll gain the foundational knowledge to interpret data, optimize functions, and assess model performance.
801 stars. No commits in the last 6 months.
Use this if you are a budding data scientist or machine learning engineer who needs to solidify your mathematical understanding to build, train, and troubleshoot AI models effectively.
Not ideal if you already have a strong grasp of university-level calculus, linear algebra, statistics, and probability as they apply to machine learning.
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Jul 10, 2023
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