Machine Learning in a week/year
This is a classic medium post, in fact, I do think it is the quintessential data science medium post: some useful information, a clickbait-y title, and definitely some over-promising. Still the post is pretty good to structuring a self learning path. I do think there are two major things of note:
- The path is too aggressive. It’s fairly odd to me that it’s a very deep-end method of learning. The idea is application as soon as possible, which is admirable, but the lack of review and seeking out mentorship and collaboration seems off.
- The path is very light on statistics and mathematics basis. Which is fine, if you view doing data science and machine learning as a purely engineering endeavour (which it often can be), but I would think that a good grasp of statistics and mathematics is important for someone who wants to do cutting edge research.
As an aside I have started a unscheduled post of learning path and resources compiled in the blog, hopefully I will update it from time to time.
A good data science profile
Speaking of the “learning data science” side of things, I have heard about a framework of 0portfolios (more on this some other time):
- Demonstration
- Narrative
- Product
This is just a fantastic example of demonstrative profiles. Readable, clear and concise.