The Right Path To A Career In Data Science, Data Analysis Part 2.

CHAPTER TWO

LINEAR ALGEBRA

Linear Algebra Review for Machine Learning (Video Series)

These are the optional linear algebra review videos for Andrew Ng’s machine learningcourse (more on this later). The entire 6-part series can be watched in under 1 hour.Recommended if you’ve taken linear algebra before and just need a quick review.

Linear Algebra (MIT OpenCourseWare)

Rigorous linear algebra class from MIT. Recommended for those who intend to applyfor R&D-heavy data scientist positions.

Linear Algebra (Khan Academy)

Practical linear algebra lessons from Khan Academy. Recommended for those whointend to apply for application-heavy data scientist positions (because it’s quicker tocomplete). 

Matrix Algebra Review (PDF)

Review of matrix algebra. Great to use as a reference.

MULTIVARIABLE CALCULUS

Multivariable Calculus Review (Video)

This is quick review of multivariable calculus in the format of solving practiceproblems. Recommended if you’ve taken multivariable calculus before and just need aquick review. 

Multivariable Calculus (MIT OpenCourseWare)

Rigorous multivariable calculus class from MIT. Recommended for those who intendto apply for R&D-heavy data scientist positions. 

Multivariable Calculus (Khan Academy)

Practical multivariable calculus lessons from Khan Academy. Recommended for thosewho intend to apply for application-heavy data scientist positions (because it’s quickerto complete).

Continue to part three

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