Hi arbre, would you mind explaining what is possible and what benefits from existing tools in machine learning at the moment? I am clueless and find ML rather frustrating to get into.
I meant that learning about ML and getting some field experience helps you figuring out when to use ML and how. For how to get into, there are a lot of resources and state of the art algorithms/papers/implementations are freely available. For me working on ML projects at my job and talking to some experts was ideal, but I am sure it is possible to learn on one's own with enough motivation. Good luck!
Ah, yes, I understood what you meant (and thank you for pointing to where I should look next!). I was hoping, too, that you might share your ML knowledge in layman's terms.
