Free food is income, for some people it's a significant part of their income depending on how much money they make. The intern at your office might've been getting paid in ONLY food.
Spoken like someone who has never worked a minimum wage (or close to it) job. There is no savings. There is no extra smartphone. There is barely food and rent.
I don't think that's what he is saying, but that is true. transfer learning for domain adaption is quite common, not sure how it works for behaviors, but if you were using say... a common controller for both the games then yes, I imagine it would take significantly less iterations to train.
That's a simple rules based approach and any undergraduate can click a couple buttons and classify land cover with different spectral reclectances (at X wavelength) on a pixel or superpixel basis. The more interesting stuff is when you feed this information into ML
This is some of the most bullshit excuses I've ever heard. I eat out all the time but any super poor moron that can't figure out that buying a couple pots and pans and cooking for 15 minutes will save them huge amounts of money in simply a couple weeks deserves to be poor. I work 80 hours a week and cool when I want/need to. This whole excuse of "poor people are fat because they can only eat at McDonald's" is just bullshit.
A good read! It helped me a lot too -- I've had issues where I would find things constantly wrong in my code and find out my results were not right. It never got to the point of publication, but it was embarrassing to share with my advisor and co-authors. However, with some work we were able to continue to improve the algorithm and get good results down the line! Because of this, though, I am always paranoid of mistakes in my coding, but this article helped that fear a bit.
Yeah! Ive done some of this with neural networks to identify certain species of plants from UAV flyover. It's definitely a thing. The DOT here is about to use it to identify phragmites, which they then spray and kill.