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. Are you comfortable paying for a course or choosing to learn from a freely available list of courses? If you are like me who believes in democratizing education for everyone, then there is good news for you.Some learners like playlist-style videos whereas others like to reinforce the learnings by solving practice questions to review the conceptual understanding. ![]() Are you looking for advanced topics and want to understand the subject in depth?.How much time do you have available at hand? For example, if you already know the concepts but require a refresher, then you would choose a course to quickly glance through the key topics.Multiple factors play a role to decide the right course such as: There are many courses available at your fingertip, but it is difficult to choose the right course suited for your requirement. ![]() ![]() Linear Algebra is one of the important concepts to learn how to perform data transformation techniques like pre-processing, dimensionality reduction, etc. ![]() Data Science is the buzzword, and a lot of enthusiasts are interested in learning its fundamentals to make a lucrative career in this field.
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