Re:Neural Architecture Search with Reinforcement Learning
by cr0sh on Friday January 20, 2017 @02:52PM
(#13446501)
> I too, was intimidated by the math & magic of ML when I first took Andrew Ng's Intro to Machine Learning Course 4 years ago (my first exposure).
Thank you for your kind words and encouragement. I will take them to heart.
I got my first taste of modern machine learning when I took Andrew Ng's ML Class (sponsored by Stanford), in the fall/winter of 2011; I completed and passed it. At the same time, I was also taking Thrun and Norvig's AI Class; I had to drop out due to personal reasons.
In 2012, after Thrun founded Udacity, they released the CS373 "Build Your Own Self-Driving Vehicle" course (I probably have that title wrong for the time; they changed the name of the course later) - it was meant as a stand-in for the original AI Class (I think there were licensing issues or something that prevented them from presenting it - they later incorporated it as a part of their offerings). I jumped at the chance, and completed that course as well.
When they announced this Nanodegree course, I knew I had to apply. So far, things are going well with the course. I'm in the November (2016) cohort, and currently working on the behavioral cloning project.
I do have in mind several personal projects to pursue, once I can come up for air from this course (most of my free time has been consumed by it). I do need more education, though, which is why I want to pursue the BA and MA. Two of my weak areas are calculus and stats/probabilities - which ML is heavily reliant on (plus, I really want to understand what is going on "under the covers" as well).
Thank you for your kind words and encouragement. I will take them to heart.
I got my first taste of modern machine learning when I took Andrew Ng's ML Class (sponsored by Stanford), in the fall/winter of 2011; I completed and passed it. At the same time, I was also taking Thrun and Norvig's AI Class; I had to drop out due to personal reasons.
In 2012, after Thrun founded Udacity, they released the CS373 "Build Your Own Self-Driving Vehicle" course (I probably have that title wrong for the time; they changed the name of the course later) - it was meant as a stand-in for the original AI Class (I think there were licensing issues or something that prevented them from presenting it - they later incorporated it as a part of their offerings). I jumped at the chance, and completed that course as well.
When they announced this Nanodegree course, I knew I had to apply. So far, things are going well with the course. I'm in the November (2016) cohort, and currently working on the behavioral cloning project.
I do have in mind several personal projects to pursue, once I can come up for air from this course (most of my free time has been consumed by it). I do need more education, though, which is why I want to pursue the BA and MA. Two of my weak areas are calculus and stats/probabilities - which ML is heavily reliant on (plus, I really want to understand what is going on "under the covers" as well).
Onward and upward!