# ai-class.com - Notes of Lesson 3 and 4

This week the ai-class was about Probability, Bayes Networks and Inference.

For people like me, that have to find *patches of free time* to study this course, there is a good news: you can do **Homeworks 2** just by studying the first of the 2 lessons. This can help to prioritise your schedule, and study the second lesson (that focuses on the “computation” over Bayes Networks) with a little bit more peace of mind.

Of course, I’m assuming you are doing the Advanced Track, where there are deadlines.

I have here my notes of the 2 classes:

~~The second notes about “Inference” are still a ~~**work in progress**, as I completed only half of the videos so far. Will try to finish it before Monday.

Now it’s time for some mussles.

**UPDATE 1**: I have been asked for the notes of my Homework 1. Here you go. But bear in mind: given those are homework, I didn’t put in them proper explanation. I suggest you watch the videos for that. ;-)

**UPDATE 2**: I’m done with notes of Lesson 4, “Probabilistic Inference”. Prof. Norvig concludes the lesson presenting the Monty Hall Problem: a very interesting one! If you want my explanation of the Monty Hall problem, check out my notes. I think I did a *decent* job at explaining it.