TensorFlow, Keras and deep learning, without a PhD

Post by mlthoughts2018 » Fri, Jul 17, 2020, 11:42 AM UTC

TrackerFF wrote: post #45

gas9S9zw3P9c wrote: post #31

As a researcher in the field I am not quite sure how I feel about these kind of resources. I am all for making research accessible to a wider audience and I believe that you don't need a PhD, or any degree, to do meaningful work. At the same time, the low barrier of entry and hype has resulted in a huge amount of people downloading Keras, copying a bunch of code, tuning a few parameters, and then putting their result…

But then again, a lot of current ML jobs are basically just that - finding some optimal architecture, tune hyperparameters, and bam! You're now a modern "AI" powered company. Heck, I've encountered plenty of ML jobs that didn't require anything more than familiarity with some known frameworks or libraries, and being able to apply known methods to real-world data / problems. So I can absolutely understand why people a…

Post by seek3r00 » Fri, Jul 17, 2020, 11:51 AM UTC

Post by bumby » Fri, Jul 17, 2020, 11:51 AM UTC

gas9S9zw3P9c wrote: post #38

chongli wrote: post #36

Earlier quoted context omitted.

put AI research on their resume. This has resulted in so much noise and low quality work that it really hurts the field. That’s one way of looking at it. Perhaps another way is ask why all of these employers are hiring people who have done low quality research without understanding who they’re really hiring. It reminds me of the adverse market effects on gamers when Bitcoin miners were buying up all the GPUs a few ye…

I think you're absolutely right. In my experience 1. There is much more supply than demand in terms of Machine Learning and Data Science. There aren't actually that many jobs outside of research, it's just that the hype makes it look that way. Now that all these PhDs seem to be starting in ML, I wonder what they will do in 4-5 years when they finish the degree. I don't think a market for them will exist. 2. Many comp…

Post by [deleted] » Fri, Jul 17, 2020, 12:08 PM UTC

gas9S9zw3P9c wrote: post #38

chongli wrote: post #36

Earlier quoted context omitted.

put AI research on their resume. This has resulted in so much noise and low quality work that it really hurts the field. That’s one way of looking at it. Perhaps another way is ask why all of these employers are hiring people who have done low quality research without understanding who they’re really hiring. It reminds me of the adverse market effects on gamers when Bitcoin miners were buying up all the GPUs a few ye…

I think you're absolutely right. In my experience 1. There is much more supply than demand in terms of Machine Learning and Data Science. There aren't actually that many jobs outside of research, it's just that the hype makes it look that way. Now that all these PhDs seem to be starting in ML, I wonder what they will do in 4-5 years when they finish the degree. I don't think a market for them will exist. 2. Many comp…

Post by nxpnsv » Fri, Jul 17, 2020, 12:18 PM UTC

polskibus wrote: post #56

I wonder if Google is using this resource to train their own staff without PhD and after that allow them to work as ML engineers? That would provide credibility to such program - instead it is more aimed to sell more ML computing power to the masses (who won't really understand how to use it to get meaningful results).