...It is open to beginners and is designed for those who are new to machine learning, but it can also benefit advanced researchers in the field looking for a practical overview of deep learning methods and their application....
Someone who took this course before, is it really good for beginners? Also, the course title suggest it would deal with models for self driving cars. Description says "practical overview of DL methods and their application". How specific is the course ?
I'd say it's for intermediate level. Let's say you have already finished 1-year long Udacity self-driving car nanodegree and reached intermediate level, then these lectures will be understandable to you. If you are total beginner you are going to be lost, but if you are an MIT newbie, you might be fine with some work in your spare time. To understand some subjects like Deep Reinforcement Learning you might need some related graduate-level coursework under your belt. It's not bleeding edge though, so researchers might think the lectures are trivial.
Why not? It's an introductory course...everyone has to start from somewhere and the most experienced experts in this field only have a few years experience given the newness of the field in general. Don't underestimate yourself!
Nice tool. I would make urls just clickable and hyperlink them. CodeOwl may not have access to everything I paste there and some urls may be broken if you don't have access.
I live outside us and when I apply for jobs in us interviewers back out (indirectly) once they come to know that I may not be able to join on a specified date due to the lottery based h1b. What are my other options? I do not have enough experience for an L1
That's a problem with our immigration system. Oftentimes, there are no solutions for talented individuals. Sometimes the O-1 visa is an option. While the standard is no doubt high, talented professionals oftentimes meet it.
