![]() ![]() Further, linear algebra is also used extensively in neural networks, regularization techniques, recommender systems, Singular Value Decomposition (SVD), Principal Component Analysis (PCA), etc.įive Free Courses to Master Linear Algebra: ![]() Machine learning algorithms typically require knowledge of scalar, vectors, and matrices to compute loss functions, eigenvalues, covariance matrix, etc. That’s precisely the intent of this post - it makes your course search easy by listing down the five free courses to learn linear algebra foundations for data science.īefore I go straight into listing down the courses for you, let me first explain the commonly asked questions – why do we need to learn linear algebra in the first place? How does it relate to data science and machine learning concepts? Recent times have shown an increase in the number of free courses to help you up-skill in no time and enable you to become a self-taught data scientist.
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