AI Class has finally finished and I am very glad I took part in this educational experiment. The past ten weeks have been full of adventure and I have learned a lot. Before this class, I had never heard of Bayes Thereom, let alone Particle Filters. Now, however, I understand the differences between Breadth First [...]
The Massachusetts Institute of Technology (MIT) offers a great introduction to computer science that uses the Python programming language. The class is called 6.00 Introduction to Computer Science and Programming and it’s part of MIT’s OpenCourseWare–a selection of free and open educational materials. Video lectures, homework assignments, and exams are all available at it’s website. [...]
Week 9 in AI Class dealt with robotics. We got a closer look at Stanley, Stanford’s self driving car that won the 2005 DARPA Grand Challenge. I highly recommend you watch this video of Sebastian Thrun’s talk at Google on winning the DARPA Grand Challenge. It is awesome! Moreover, this week we had lectures on [...]
Week seven consisted of lectures dealing with computer vision. The series started with a lecture on how images are created using pin hole cameras. From there we were introduced to a formula that helps calculate focal length, projection height, range and height of an object. Furthermore, we learned that once we have an image, we [...]
This week we learned about Game Theory and Advanced Planning. We learned about dominant strategies, game trees, adversarial games, minimax, scheduling, and a whole bunch of other stuff. We even learned about the Nash Equilibrium which was portrayed in the movie “A Beautiful Mind”. One of the highlights of the Game Theory lectures was in [...]