Great question. I’d love to hear what others will do after the course / what options there are!
I will join https://fellowship.ai, which is a four-month machine learning fellowship.
I don’t have a PhD (or a CS or math degree) and can say that doing the fast.ai courses helped me a lot to get accepted!
Build your own ML projects. At some point it’s good to stop doing courses (or at least take a break) and start doing some projects of your own, from scratch. You’ll learn a lot more that way than just taking a course passively.
It’s an amazing dive into the cutting edge uses of deep learning in art and includes a lot of labs and projects that are at a similar level to previous iterations of part 2. There are some really cool projects and ideas in there.
I’m definitely keen on this one, I’ve been following Andrew Trask and PySyft for a while and think it’s a pretty interesting project with a very important and challenging goal. I’m frankly sceptical about the maturity/quality of the toolset but I’m keen to find out whether it’s good, and think it’ll likely be a good overview of the field anyway. Plus it’s in python and pytorch which we know.
I like this! Thank you Even! Are you interested in generative design tools? I’m wondering about the generative design tools that companies like Autodesk are developing, and this course looks like a really good introduction to this thought process.
That looks like a great challenge! I’d love to get involved in more ‘AI for social good’ things because I guess that if you really think about the social good AI / DL can do, there’s still a world of opportunities to be explored. Thank you for sharing!