AI Nano degree update – Finished Term 1

With much relief, I am happy to say that Term 1 (out of 2) is now complete. Since my last update, I went through two more projects. How did it go?  Overall satisfied with how much I learned but the ending was rather boring and I couldn’t wait to complete the assignments and move on to the next term.

Project 3: Implement a planning search sounded very excited. Planning AIs is a big part of AI systems but the way the topic was presented in the class was just absolutely terrible. It was presented in a strict academic fashion and I walked away from the project feeling very dissatisfied. I spent most of my time not on learning and experimenting with the concepts but deciphering rather confusing code setup and data structures from AIMA code. The actual solution was a very straightforward copy/paste exercise that taught you close to nothing.

After thinking about this more, I don’t per se blame the materials or the Udacity. The issue here is that the subject is very broad that doing it as a 3-week exercise most likely will leave you dissatisfied no matter how you present it. To do a full project from the ground up, coming up with planning language, possible states, etc is an involved exercise. That’s where I think Udacity was better off leaving this as an optional part of the course and spent more time on search techniques or tackled more advanced adversarial search techniques like Monte Carlo Tree Search.

Project 4 was not that much different in how much it disappointed. The topic itself once more very sophisticated and exciting: HMMs. I am not sure how much I learned from the lectures and instead relied on other resources to start to understand how would one go about using HMMs. After doing the project I realized that the lectures were incredibly disconnected from the project. One could do the project without looking at the lectures at all. The videos for part 4 should just be scrapped altogether. They add no value.

 

I don’t want to end on a negative note since overall I enjoyed Term 1. The first two months were incredible, exciting and I learned a lot. The second project especially, search techniques for solving problems, was by far my favorite and one of the main reasons why I took the course.  The udacity’s system of slack rooms and office hours combined with the projects were really useful for learning and I am glad to be able to continue on.

For now, I am taking couple weeks off until Term 2 begins. Term 2 focus on more practical uses of AI and deep learning, culminating in students selecting a single specialization out of these three areas: voice user interfaces, natural language processing, and computer vision. I am leaning towards computer vision as I have always wanted to learn more how such systems operate. Although I do wonder if voice user interfaces would be more useful from a career perspective. Perhaps I will do image processing and then do voice user interfaces specialization as an add-on. Let’s hope Term 2 starts with a bang like Term 1 did and stays that way!

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