As someone who wants to get more hands on with AI/ML, what tool set would you recommend? I'm familiar with both Matlab and Python but haven't ran simulations other than some simple linear models. Tensorflow keeps popping up on sites I read but I feel like I miss half of the basics to know if that's what I need.
The tools don't matter, you need to know linear algebra, probability and statistics, and general broad level AI concepts.
I'd do that if I already had a thorough theoretical foundation instead of just the interest I have in the topic. This course has been recommended to me a few times. I'll have to admit, I still haven't found the time to just throw myself at the problem, so I haven't given either that course or Tensorflow courses a good run. My hope was that you might know some kind of silver bullet with which I can tackle AI / ML. I have two general goals with this endeavour: one, to get my hands dirty regarding AI/ML so I can understand it properly; two, to learn enough about it so that I can apply it when a problem arises. So I want to learn how it works and add it to my toolbox. More specifically, I want to figure out applications in the geographic domain - can I model geographic phenomena, and use ML to recognize patterns / make (spatial) predictions? A few years ago, I analysed demographic and economic spatial patterns in the Seattle area to help kleinbl00 find the best location for his birth center. I think it would be awesome if I could use ML to classify and predict urban patterns. Think your thunderstorm simulator (the coolest band name I've read this week) but on a larger scale, bounded by geographic place theory instead of physical fluid dynamics.I actually tried to make a lot of the tools myself, from the ground up.