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You don't need much CS knowledge for deep learning, in fact pure math/stats is more useful. I'd say CS knowledge is only useful if you do RL stuff and even then
by RobertDeNiro 8y ago
You don't need much CS knowledge for deep learning, in fact pure math/stats is more useful. I'd say CS knowledge is only useful if you do RL stuff and even then you don't really need it that much.
- hypersoar 8y agoTell that to my potential employers :|
- RobertDeNiro 8y agoDepends what jobs you're applying to. But I've seen it first hand traditional HR doesn't know how to filter for ML resumes.
- tachyonbeam 8y agoThat really depends on what you're doing. I've seen people coming from a pure math background really struggle. If you've never programmed before, then using something like TensowFlow isn't exactly going to feel natural. Familiarity with Python and the Linux ecosystem would definitely be quite helpful. Yes, I'm sure you could run ML models on a Windows machine, but at some point, you might want to perform experiments on a cluster, and it's going to be running Linux.
- RobertDeNiro 8y agoTrue. I was assuming programing experience but no data structure and algorithms. I can attest that a lot of people in my ML class couldn't program and they sucked at the assignments we had.