I spent the last week brushing up on Linear Algebra in preparation for week 2 of Andrew Ng’s Machine Learning course offered via Coursera. This is my second time attempting the course and I’m hoping I’ll be more motivated and prepared this time around. This blog serves as some accountability and perhaps encouragement for others to join! I’m attempting to finish the course before the end date of March 5, 2017 and so far making good progress. My only advice from week 1 is to spend the time to go through matrices. The course review covered the basics of addition, multiplication, transposition, and transformaiton too fast for my liking. If you’re like me and you’re not practicing matrix multiplication before bed every night, I highly recommend watching khan academy’s review of matrices.
If you have any insights on how to better prepare for week 2, i’m all ears!
Happy Coding, Ant