So I want to read up on, say, natural language processing now. I have access to a million different blogs on the topic, and as many journals and papers on the topic… basically whatever’s on the Internet, apart from the stuff in the IEEE and ACM databases.
I do not have any tasks at hand in the field that I can pick and study what will help me get the task done. I just want to know more, both breadth-wise and depth-wise.
Breadth-wise seems easy as there are enough sites that give you a bird’s eye view of the whole thing.
It is depth that is challenging.
For starters, how do I go about the whole deal in an organized and efficient manner?
How do I sift through the mountains of published papers, most of which use terminologies and math that at first glance seem alien to me? It wouldn’t be as painful if Googling for those terminologies yielded definitions instead of more papers on the same, but that seems to me to be too much to expect.
How do I know what is relevant and what is not? I don’t think bruteforcing through loads of documents hoping whatever I read comes of use somewhere is the best thing to do. More so when half of it doesn’t yet make sense to me.
And what would be a good way to get a more accurate view of the breadth?
As a bonus, how do you conduct research in your spare time?
Advice on this, especially with respect to machine learning and natural language processing are solicited.