Another dot in the blogosphere?

CrashCourse AI episode 16

Posted on: December 1, 2019

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This was an episode that would make a novice coder happy because it provided practice.

It did not apply to ame because I was merely getting some basics and keeping myself up to date for a course I facilitate.

In this episode, the host led a session on how to code for a movie recommendation system. To do this, he revisited concepts like pooling large datasets, getting personalised ratings, and implementing collaborative filtering. In doing so, this host suggested solutions for incomplete data, cold starts, and poor filtering.

The next episode promises to provide insights on how search engines make recommendations.

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