A few weeks ago, some well known professors at Stanford University launched online classes, two of them about Artificial Intelligence. More precisely, one of them is named “Introduction to AI” (given by Sebastian Thrun and Peter Norvig) and the other one is “Machine Learning” (by Andrew Ng). It is a successful worldwide experiment, each class counts several dozens of thousands of students.

I’ve always been interested in the field without ever taking the time to learn how things work, so I decided to enroll in the advanced track of both classes. That is, with homework and programming assignments each week. A basic track is available for those who want to see the material without being scored on homework and assignments.

Although there will be no official Stanford certificate in the end, the organisators will provide a statement of accomplishment with the final score as percentage and a percentile ranking with all those who completed the advanced track.

These courses are very well explained and almost all prerequisites are reviewed before using them so it is really accessible even for people who are absolute begginers in the field.

I don’t know if this will blend somehow with my ongoing research focusing mainly on SMT solvers at the moment. The goal here is to learn something new and to transform it into a useful skill.

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