- 2 reviews
- 2 completed
Very pedagogical and well though-through class on machine learning. Focuses on giving you the practical version of the most common machine learning algorithms - it is excellent for machine learning beginners who want to get a feel for the subject, or who want to quickly try a standard algorithm in their own work. The lectures mostly skip theoretical underpinnings and don't go deep. Lectures place a lot of emphasis on intuitively understanding what's going on. The review questions and assignments very closely follow the course material and are not very challenging. They test whether you have followed and understood the lectures, but don't challenge you to fiddle around until you have figured out the solution to a problem yourself.
Take this course if you: \- know molecular biology (necessary stuff will be briefly reviewed in class, but if you don't know it already these reviews are too short); \- want to get an overview over the most common bioinformatic methods and be able to say a couple of sentences about each; \- want to get clear instructions on which method to use when; \- are okay if you don't really understand any of the methods you're going to use (because none of the algorithms are really explained in the class); \- would like some guidance clicking around on bioinformatics websites (if you're happy exploring such websites on your own, it will be more efficient than taking this class).