I started Stanford's Open AI Course today. I plan to share reflections on learning in a Massively Open Online Course with over 100,000 other registrants. We'll see how long they (and I) can hang in there. I'm already a day behind, as the course began yesterday. At the end of unit one, I've had an introduction to intelligent agents with vocabulary words such as deterministics, stochastic, discrete, continuous, benign, and adversarial. A machine translation exercise using a Chinese/English menu as an example gave me a new appreciation of machine learning. I answered 62% of my unit one quiz questions correctly, but learned from my mistakes. Hopefully, I'll do better than that on the tests that count.
The discussion feature is not yet working. I look forward to the reflections of others in the course. At the moment, it's a lonely endeavor, but I am learning.
Here you see unit 1, Welcome to AI, in which the video lecture runs on the right with progress checked off on the left. I can check my progress on quizzes with the Progress tab across the top.
Unit 2, Problem Solving, was a bit more challenging. I thought I understood breadth first search, but my quiz answers beg to differ. I will go over it again, but this is a point of frustration where I would like to ask questions and/or challenge the instructor. I'm thinking about how I would approach the learning if sitting in a classroom rather than here online. I definitely feel the pressure to go back and review. If sitting in the classroom, I doubt I would ask the professor to repeat himself as many times as I've gone back and reviewed the video.
Evernote is turning out to be a great learning tool. I can take notes on the lectures and integrate screen captures throughout. It syncs to my iPad and iPhone, as well. Here's a shot of my full desk top, Evernote on the left with screen caps from the course and lecture on the right. Better than being there.