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I agree. Someone mentioned there weren't prereqs, I think, but man I was totally lost in the first class.
by 93po 3y ago
I agree. Someone mentioned there weren't prereqs, I think, but man I was totally lost in the first class.
- barrenko 3y agoOh yes, there are, anyone who says there are not is fooling others, or assuming you're a CS grad.
- xcv123 3y agoYou will have to know the basics of calculus, linear algebra, and probability. A few months of study.
- elashri 3y agoAre you talking about the submission course or Stanford? Because There is a list of pre-reqs for the submitted course [1] and to be honest I feel like they are the standard requirements for you to fully understand DL may except signal processing stuff that might be taken as optional. [1] https://fleuret.org/dlc/#information https://fleuret.org/dlc/#information
- PheonixPharts 3y agoIf you're interested in Deep Learning or any area of ML it's fairly safe to assume you have a background in linear algebra, probability, calculus and obviously some basic programming. If you're not interested in learning these areas, it's also safe to say you aren't really interested in deep learning either. Which is not to say if you don't already know these areas you aren't interested in deep learning, but if you don't know them and are interested in deep learning you're likely already studying them. I say this because deep learning and the vast majority of ML really just boil down to an application of these basic tools. Deep learning/ML without the linear algebra, probability theory, calculus and coding isn't really anything at all.
- 93po 3y agoI’ve taken uni level courses for all of that but it’s been… 15+ years and is entirely out of my brain. I appreciate the feedback. Sounds like I need to brush up and I appreciate your point about it being a mathematical concept at its foundation
- apwell23 3y ago> background in linear algebra, probability, calculus Curious. What does 'background' mean in this sentence. You can spend years studying just one of these in depth. How much is "enough" for ML?
- pedrosorio 3y agoThe basics. 1 semester course for each.
- apwell23 3y agothanks! I wonder if someone has compiled a resource with just enough math for ML.
- 93po 3y agoI believe fast.ai does this - they start with you using real tools and teach you the foundation as it becomes relevant
- patrick451 3y agoI'd say slightly more. Maybe it's just because I attended a state school, but I think my first semester calculus class was all single variable (20 years ago now, so my memory is rusty). You really to understand gradients and jacobians for ML, which I think was calc III for me. But you can skip curl and div part I guess.
- pedrosorio 3y agoOh, that’s right. Multivariable was Calc II for me so technically two semesters.
- apwell23 3y agohow much of that do you really use for ML