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First Steps in Linear Algebra for Machine Learning

The main goal of the course is to explain the main concepts of linear algebra that are used in data analysis and machine learning. Another goal is to improve the student?s practical skills of using linear algebra methods in machine learning and data analysis. You will learn the fundamentals of working with data in vector and matrix form, acquire skills for solving systems of linear algebraic equations and finding the basic matrix decompositions and general understanding of their applicability.

Created by National Research University Higher School of Economics


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What you’ll learn


Through this educational resource you will improve the compentencies sought by organizations these days. The most relevant technique from the educational opportunity that is often included from companies is Data Analysis. The most relevant tool is Python.

Who will benefit?


Contrasting material from this educational opportunity with nearly 10,000 data-related job postings, we discover that those interested in Data Scientist roles would benefit the most.