I backed Jeff's A.I book campaigns. But I haven't touched the books yet. I've had the feeling that the very little math I know won't help me through this book.
Can anyone's who has read the books suggest what Math topics are pre-requisites to read the books? (and if possible, the best sources to learn them from)
The best thing about this article is how he breaks down the math. The main idea: slightly tweak an argument to a function to get the output slightly closer to your desired output. He then presents a couple of ways to achieve this...
The thing I like about this series is how accessible it is. Jeff's stated goal is to make the concepts clear for actual humans rather than academics (hence the name of the series).
I've been working my way through the first volume and knowing a bit of algebra has helped immensely. I recommend checking out volume 1 and see where it takes you!
Loved the video, after pledging I'm excited to read all three volumes since I've just been skirting NN, GA, and ML for a while now. DRM free and examples in multiple languages are a big selling point. Hope to see the whole series get published.
I have nothing of value to add here. I just can't help but post that I love the way this guy presents himself. Because of this, followed up by the positive reviews on amazon, I will be picking up his books to start my exploration of AI.
I've backed all three volumes now, and I've been really happy (and impressed) with the first two volumes. I haven't read them cover-to-cover, but the parts I've read through were very understandable and accessible.
Can anyone's who has read the books suggest what Math topics are pre-requisites to read the books? (and if possible, the best sources to learn them from)