If you are interested in Artificial Intelligence and Machine Learning you have probably heard of Siraj Raval. If not, check out his Youtube channel. It is truly a goldmine of information.
In short, Siraj Raval focuses on clarifying Artificial Intelligence and Machine Learning in a modern and fast-paced way. Recently Siraj released this video “Learn Machine Learning in 3 months” (with no technical background) and I was very intrigued by this. I decided to stick to this curriculum for 3 months and see where it takes me. Phuc Trinh created this Facebook group for people who are taking the same journey. As we speak this group has grown to 278 people. Awesome!
Siraj divides the 3 month learning journey into 3 parts:
Month 1: Math and Algorithms
Month 2: Machine Learning
Month 3: Deep Learning (A popular subset of Machine Learning)
Month 1 is divided into 4 math subjects:
Week 1: Linear Algebra
Week 2: Calculus
Week 3: Probability and Statistics
Week 4: Algorithms
In this first week, Siraj recommends the MIT OpenCourseWare Course on linear algebra. It is suggested to play the videos at 2x speed AND take notes at the same time. This may sound intimidating, but is actually quite doable. Your brain adapts quickly after a few lectures and normal speed will feel like slow motion after a while. To get a different perspective on linear algebra I also suggest watching 3Blue1Brown’s “Essence of Linear Algebra” at 2x speed. 3Blue1Brown’s animations feel intuitive and are easy to grasp.
Next week (March 12th): Calculus!