That looks like a great course by the way, thanks for sharing.
That looks like a great course by the way, thanks for sharing.
If you're strapped for cash and don't want to pay the $800/term, you could definitely learn these things on your own using free online resources. If you don't mind the price, though, I've found this course worth the time+money+effort so far. [they're not paying me to say this :)]
i would recommend the coursera course by andrew ng. i had an amazing time. the code stays out of your way and he walks you through the algorithms and explains the theory very well.
i just started the fast.ai by jeremy howard, and literally have been blown away but the course. it is AMAZING! by lesson 3 i'm able to build cnn models and score on top 20% in kaggle competitions. not bad for a complete novice. HIGHLY RECOMMENDED.
once im done with the fast.ai course i may look back around to google's deep learning course. i think it may be easier for more experienced users to digest its info.
https://www.coursera.org/learn/machine-learning
Edit: added fast.ai link
Personally, I found Stanford dl courses (image classification, nlp) to be much more suitable for beginners.
Ideally, I want to work on self driving cars or AI in my day to day job, but I don't want to get my hopes up. Do you think that after you complete the nanodegree you will attempt to change your career to an SDC engineer or AI/ML engineer? Or is this just meant to fulfill a curiosity of yours?