[anantzoid]

I had the opportunity to study Coursera's ML course a couple of years back when I was in college and developed a deep passion for the area. I was out of touch with ML since 1.5 years and now coming back to it seems overwhelming. I mean there is so much more to learn. The gap between classic ML and Deep Learning is noticeably huge. This is due to the rapid development in the recent years. You won't get things like gradient clipping, learning decay, dropouts etc. in the coursera course. Moreover, new papers are released every other day and one needs to devote time to stay updated.

And when I think about people who are not familiar with even Machine Learning, then really need to buckle up and spend serious time to catch-up with the technology that's making history today.

But now is really a good time to start. There are only a bunch of people in the whole wide world who are masters of DL and anyone with skills in it is in high demand. And it's not just about a job, "it is really cool" to play with it. I really feel I'm doing something heavy.