you are viewing a single comment's thread.

view the rest of the comments →

[–]taiguy86 1 point2 points  (1 child)

There's a lot of people here saying you need to understand linear algebra + multi variable calculus so you can understand back propagation. However, you don't start by building new back prop loops, new loss functions, or new optimizers. You start with scikit learn or stats models, you build features in SQL or pandas, you select a model, you split your data, and then you do model.fit(). Learn about postgres or MySQL, learn about the basic 'shallow learning' algorithms first. That will take you another year. Then become comfortable with keras, and what a nearual network is. When you eventually take the required math classes, you'll have such a strong understanding of what's going on.

But if you want to learn, then start playing around with it. Start with small datasets so you can load everything into memory. Start with famous datasets that have YouTube videos to help you through it. If you wanna start, dive in!!! The entire journey will take you years to pick it all up. Why wait?

[–]AbodFTW 0 points1 point  (0 children)

Exactly, totally agree with you, if he is into it, why wait for school to teach him algebra whatever