John Langford's hunch.net[0] has a lot of interesting stuff. One example: "Interactive machine learning is about doing machine learning in an interactive enviro

John Langford's hunch.net[0] has a lot of interesting stuff. One example: "Interactive machine learning is about doing machine learning in an interactive environment. It includes aspects of Reinforcement Learning and Active Learning, amongst others." [1] Tutorial slides [2]. A fair bit of this is theoretical, but the theory is extended to cover scenarios that more closely resemble operational use, rather than the textbook supervised learning world view, which assumes that (i) your training data appears magically, and you never get any more of it, and (ii) the predictions of the model are never actually used for anything. [0] http://hunch.net/ http://hunch.net/ [1] http://hunch.net/~jl/projects/interactive/index.html http://hunch.net/~jl/projects/interactive/index.html [2] http://hunch.net/~jl/interact.pdf http://hunch.net/~jl/interact.pdf