Math 0-1 – Matrix Calculus in Data Science and Machine Learning
English | Tutorial | Size: 936.3 MB
In this 6 hr course, you’ll master the essential aspects of matrix calculus tailored for applications in data science and machine learning. Covering both foundational mathematics and advanced optimization techniques, this course ensures you’re well-prepared for any challenges in AI development.
What I will be able to do after this course
Understand matrix and vector derivatives intuitively and rigorously.
Learn to confidently use the chain rule in matrix calculus for modeling.
Develop skills to optimize machine learning models using advanced techniques.
Proficiently set up the necessary Python environment and libraries for AI projects.
Adopt effective strategies to learn and apply complex mathematical concepts.
Course Instructor(s)
Lazy Programmer leverages extensive coding and teaching experience to deliver clear and engaging lessons on cutting-edge technical topics. An experienced Python coder and machine learning expert, they strive to demystify complex algorithms and provide learners with actionable knowledge to excel in practice and beyond.
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