I want to understand the maths behind Machine-Learning, and also be able to apply it. Today, I thought I'd make a start. So I did 2 things:
1) I read the first few pages of https://www.amazon.co.uk/Deep-Learning-Adaptive-Computation-Machine/dp/0262035618 , the so called 'AI' bible.
2) Completed the first 2 weeks of Coursera course on machine learning https://www.coursera.org/learn/machine-learning offered by standford uni for free.
In both cases, I went over simple Matrix-Vector multiplication and simple linear regression, which felt very dry.
Now I'd like to know if anyone has actually read that book and could comment on the complexity of maths behind it? It feels like I'm falling asleep watching the video tutorials and I would prefer to read at my own pace, studying the book.
I consistently find that video lessons/courses are too slow for me to feel like I'm learning at the rate I'd like to be. I prefer to find books or especially online PDFs on the exact topic I'd like to learn about and tackle those, and leave the videos to supplement my understanding.
Reading Pros:
Reading Cons:
Video Pros:
Video Cons:
That said, sometimes I find videos that really are worth watching, for example I remember an old series on complex analysis that is on youtube and I really appreciated, also anything by Tadashi Tokieda like the lectures he gave in South Africa. Other than that though, if I really want to use a video to stipend my book learning, I'll set it to 1.25/1.5x speed which helps to make up for how slow it goes, the biggest drawback to videos in my opinion.