Overview: In this post, I will walk you through using word embedding algorithms (aka. vector space models) to extract thematic relationships between the different characters in the Harry Potter book series. Reading time: 45 minutes Expertise level: 4/5 The motivation A lot of attempts been made at mapping the social networks of famous books, movies […]Read More the magic of words2vec in harry potter
Overview: This post will walk you through how to import a scatter plot image into R, explain how R stores image data and how you can access and manipulate it, walk you through using clustering to detect point in the scatter plot image, and compare different forms of regression to see which one fits the […]Read More from an image of a scatter plot to an R regression
Data science is a enormous city that groups together different boroughs. Within those boroughs, there are different neighborhoods. Within those neighborhoods: parks, streets, blocks and buildings. I do not intend this blog to be a full-fledged Lonely Planet or Not For Tourists guide of the city. I don’t even want it to be a Time […]Read More hello, world!