linear algebra and multivariable calculus 는 포지션에 따라 공부의 강도가 아래와 같이 달라 지게 된다.
Application-Heavy Machine Learning Positions
interviewers may still test your basic linear algebra and multivariable calculus.
R&D-Heavy Machine Learning Positions
Other roles need much more original ML research and development. You may need to translate algorithms from academic papers into working code. Or, you might research enhancements based on your business’s unique challenges.
In other words, you’ll be implementing algorithms from scratch much more often.
For these positions, mastery of both linear algebra and multivariable calculus is a must.
Step 1: Linear Algebra for Data Science
For application-heavy roles…
Khan Academy has short, practical linear algebra lessons. They cover the most important topics. (유튜브에 있는 khan academy Linear Algebra 시리즈가 구 버전인것 같은데 내용상의 차이는 없는것 같다.)
For R&D-heavy roles
MIT OpenCourseWare offers a rigorous linear algebra class. The video lectures and course materials are all included.
Khan Academy has short, practical multivariable calculus lessons. They cover the most important concepts.
For R&D-heavy roles…
MIT OpenCourseWare offers a rigorous multivariable calculus class. The video lectures and course materials are all included.
And if you only need to review:
Multivariable Calculus Review (Video) – This is quick review of multivariable calculus in the format of solving practice problems. Recommended if you’ve taken multivariable calculus before and just need a quick review.