> 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.
292 karma · joined February 3, 2013
> 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.
"Anyway, seems like the vegetable is corn."
[1]https://news.gallup.com/poll/238328/snapshot-few-americans-v...
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.
Edit: And on more careful inspection, they do say that they bought the paid version after liking the free version. I may have jumped the gun on that one.
I sometimes forget this myself, but I don't really have a master plan. I just do whatever seems most interesting and important to me at any given time, and I really don't think it's too terrible a philosophy. Interestingly, that would make this PhD the longest pet project of my life so far.
Edit: Just noticed that this article was already posted