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today Im going to be talking about word embeddings which I think are one of the coolest things you can do with machine learning right now and to explain why I think that Im just going to jump right in and give you an example of something you can do with word embeddings so a few months ago I set up a program that just downloads tweets as people write tweets on Twitter and save them to a file and after running this program for about a month or two I had collected a massive file with over 5 gigabytes of tweets after I compressed it so I got a massive amount of data and its just raw data that people typed on the internet after getting all this data I set it directly into a word embedding algorithm which was able to figure out tons of relationships between words just from the raw things that people happen to type on the internet so for example if I put in a color it can tell me a bunch of other colors it never actually knew the idea of color going in it didnt really know anything and pi
