> On average, 83% of captures were consumed by the cats (88% of invertebrates, 79% of reptiles and amphibians, 78% of mammals and 50% of birds) and the remaining items were left at the site of predation.
Total percentages of vegetarian and vegan Americans do appear to be quite low, and they skew more liberal and lower income[1]. I'm not the person you're responding to, and it requires some extrapolation, but the liberal skew does at least suggest that vegetarians may skew "metropolitan" as well.
I got my start by getting a PhD, but that's perhaps not a practical recommendation. In reality though, you might say I started learning ML by reading Mitchell in class:
https://www.cs.cmu.edu/afs/cs.cmu.edu/user/mitchell/ftp/mlbo...
It's dated, but it's quite approachable and does a great job explaining a lot of the fundamentals.
If you want to approach machine learning from a more statistical perspective, you could also have a look at An Introduction to Statistical Learning to start:
http://www-bcf.usc.edu/~gareth/ISL/
Or if you're more mathematically inclined than the average bear, you could jump directly into The Elements of Statistical Learning:
https://web.stanford.edu/~hastie/ElemStatLearn/
If you want something a little more interactive than a book though, you might have a look at Google's free crash course on machine learning:
https://developers.google.com/machine-learning/crash-course/...
I checked it out briefly maybe six months ago, and it seemed pretty good. It seemed a bit focused on Tensor Flow and some other tools, but that's okay.
> On average, 83% of captures were consumed by the cats (88% of invertebrates, 79% of reptiles and amphibians, 78% of mammals and 50% of birds) and the remaining items were left at the site of predation.