Welcome to Data Science Talk! This blog is intended as an accessible blog to discuss Data Science topics.
We'll start off with a focus on Machine Learning -- I'll post an article a week, and encourage discussion in the article's comments. The idea is to have an online site to discuss intermediate-level machine learning topics. I presume that you are familiar with basic programming and math topics, and have taken at least one basic Machine Learning or Data Science MOOC or its equivalent (such as The Analytics Edge). The idea is to make each week's discussion accessible, yet also begin to explore Machine Learning topics more in depth.
This week, we'll be discussing Domingo's 'A Few Useful Things to Know about Machine Learning' article, which I thought was pretty interesting. It gives a nice overview of a number of general lessons that are useful to keep in mind when solving machine learning problems. Here is a link:
http://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf
I'll go ahead and post some thoughts about the article next week, along with the new article.
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