Ha, yes that title is just click bait, although I'm not sure how I'm even soliciting clicks. I'm just as likely to jump into a Bayesian vs. Frequentist debate post. I will only say this, as a Statistician I fully embrace the Machine Learning field. If we were to do a Venn Diagram of the two fields, I believe the intersection would take up most of the Sample Space, and have a probability measure of at least 95%.
With that said, I just thought I'd post a link that I recently stumbled across. Usually I just put these links under my Computing tab (it's already there), but I think this one warranted a blog post. It's a curated list of Machine Learning Algorithms across a variety of programming languages. It's definitely going to come in handy for me.
So without further delay, welcome to:
Awesome Machine Learning
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