Hey there CEO person. I get it. You recently read an article. You recently read a blog post. A conference where the main topics had titles like “AI in…” got you intrigued.
On whence someone asked me “now that I am finished with class, what books should I read and videos should I watch in order to learn more about this field?” and I answered “get ready to drink from the firehose.”
At any company there are at least two problems that are incredibly novel that you as a Data Scientist could unlock. Beyond that though, there are a number of common problems that seem to span across any company in any industry.
I generally think that my preparation of a company before I go into an interview is a distinguishing and standout trait.
Here’s a list of questions that I’ve experienced in interviews or have asked in interviews.
One of the best ways to forget what you’ve done is to not catalog it somehow. Munger says that knowledge must hang on a mental latticework in your head, but I say that we should just let the internet remember everything for us. To that end, I’m going to talk about how to deploy a knowledge repository, using the open source tool that the titans over at AirBnB open sourced.
Tomorrow begins a new cohort in the part-time data science class I teach at General Assembly. This bootcamp thing is fantastic. Note that these views are mine, not necessarily those of Generaly Assembly.
I’ve been reading some really great papers lately. I am especially curious about the practical applications of abstractive text summarization.
Hello world! I am making this to catalog projects, musings, and other things which are important to only me.