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It is normal. We recently finished a big project at my company. I barely had any sleep during the process. It took me 1-2 months to recover and begin doing useful work again. Just take it slow.

If in addition to being burned out you don't like what you are working towards, just choose a different goal. I found that working toward Artificial General Intelligence is a very motivating goal. I have been pursuing it for the past few years and I am yet to grow bored with it. The only tricky thing is there's a lot of bs surrounding the subject, so you need to learn to navigate it.


I'm very interested in ML but have had a hard time getting started. Any advice on a good entry point? I've gone through Andrew Ng's course but haven't found a great resource passed this level.


Try http://www.fast.ai/ Probably this is the best course form non-mathematical side.


Those are really old results. They should compare to this one: https://arxiv.org/pdf/1511.06581.pdf


How can the results be old when the paper is from 2017?


They are comparing their genetic programming results with a deep learning paper published in 2015. [1]

[1] https://www.nature.com/nature/journal/v518/n7540/abs/nature1...


What a time to live in, when papers from 2015 are "really old" in 2017.


1 deep learning year is about 49 dog years.


It highly depends on the field you're in though.


What is "exponential growth"!


It's more logarithmic, isn't it? Right now we're at the beginning stage, where there's massive discoveries and changes happening, but in say, 50 years time, there won't be much changing year-to-year.


Logarithmic or logistic?


this is old too


I actually find those notes particularly well suited for programmers:

http://www.cl.cam.ac.uk/teaching/1516/QuantComp/materials.ht...


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