Hacker Courses The online courses programmers keep recommending, ranked from 20 years of public forum comments.
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Matrix Algebra for Engineers
Image: coursera.org
#390 on Reddit

Matrix Algebra for Engineers

Coursera

3 recommenders · 3 threads · recommended in 3 years, 2015–2021 · score 3.7

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A Coursera course on matrix algebra aimed at engineering students, covering linear algebra with matrices, vectors, and their applications. Commenters link it as a linear algebra course that connects to programming and computer science topics.

Commenters call it one of the most fun courses they have taken and say it relates linear algebra to programming and other CS topics.

Mathematicsintermediatefreemiumvideo lectures#linear algebra#matrices#engineering math#vectors#coursera

Recommendations by year

20152021

On Reddit (4)

  1. Strongly recommendsFlofinatorr/learnprogramming2016in “What are some good youtube channels to learn intermediate/advanced programming concepts?”▲ 3

    https://projecteuler.net/ Some are super easy, then they just get harder and harder. I think only 20 some people in the whole world have completed all of the challenges. There are tons of Machine-learning courses on Udacity or EdX which are pretty intermediate to advanced things. So far one of the…

  2. Recommendspetesynonomyr/learnmachinelearning2021in “Coursera Course on the Mathematics of Data Science from the Imperial College of London”▲ 2

    This course was really good too: https://www.coursera.org/learn/matrix-algebra-engineers/home/welcome

  3. RecommendsHeasummnr/learnprogramming2015in “Self taught programmer, want to be self taught computer scientist. What math classes to take?”

    Hmm. I am too in your position. My recommendation was Discrete Mathematics, Linear Algebra, and Statistics. Also Calculus, but only because I was told it is fun and would be a nice skill, but you already have that. I'd recommend the MIT OCW DM course, it's titled as Mathematics for CS. I would…

  4. Mentionsrichardweissr/programming2012in “Top 10 algorithms in data mining ”▲ 7

    Andrew Ng's lectures on machine learning at stanford, they are on coursera with exercises or on youtube. That will take you through a number of the algorithms mentioned, although his course doesn't include any of the rule based ones. That will give you a good grounding in the whole objective…

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