I am a long time developer who is trying to move into data science / ML.
What I've found after taking off for 12 months of self-study, is that it quickly dissolves into you must know math. As far as I can tell, its take a problem, map it into a vector space, then use the full power of mathematical analysis on it .
There is a huge push by large companies to make AI as a service though, and for that, you only really need to know how to use the APIs.
Which makes me wonder, why in hell have I done burnt through all my savings for this. Sure I have a new found love for math, but I'm not going to be accepted as a mathematician ever without the rigor of a formal education, and if I just wanted to use APIs ... I could have continued to do what I was doing.
What I've found after taking off for 12 months of self-study, is that it quickly dissolves into you must know math. As far as I can tell, its take a problem, map it into a vector space, then use the full power of mathematical analysis on it .
There is a huge push by large companies to make AI as a service though, and for that, you only really need to know how to use the APIs.
Which makes me wonder, why in hell have I done burnt through all my savings for this. Sure I have a new found love for math, but I'm not going to be accepted as a mathematician ever without the rigor of a formal education, and if I just wanted to use APIs ... I could have continued to do what I was doing.