A free YouTube series of animated videos by Grant Sanderson that builds intuition for math topics such as linear algebra, calculus, and neural networks through visual explanations.

Commenters single it out as fantastic for building intuition, and one suggests watching it alongside a machine learning course to prepare for the math.

On Reddit (2)

1. Strongly recommendsshhh-quietr/learnprogramming2018in “Teacher/Mentor for Computer Science Degree”▲ 2

   I would suggest reading, or at least skimming, How to Make It Stick. This will give you some perspective on the learning process, which I think is highly important for you going into a new/different learning process and subject matter than you are used to. One major piece of advice from that is to…

2. RecommendsPour_Louisr/artificial2018in “What are the pre-requisites required to start with A.I.?”

   If you want to learn machine learning start with Andrew Ng's Coursera course. You will need some calculus and a lot of linear algebra. From there, 'The Deep Learning Book' us a logical next step. You'll really need solid calculus for that. Watch 3blue1brown videos. If you want to learn about AI…

Related courses

• Machine Learning (Andrew Ng)Coursera · 240 recommenders
• 18.06 Linear Algebra (Gilbert Strang)MIT OpenCourseWare · 78 recommenders
• Stat 110: ProbabilityHarvard University · 18 recommenders
• The Theoretical Minimum (Leonard Susskind)YouTube · 16 recommenders
• 6.042J Mathematics for Computer ScienceMIT OpenCourseWare · 12 recommenders
• Essence of Linear AlgebraYouTube · 10 recommenders
• 6.041 Probabilistic Systems Analysis and Applied ProbabilityMIT OpenCourseWare · 6 recommenders
• Linear AlgebraKhan Academy · 7 recommenders