Recently, my company encouraged us to learn more about Azure ML Studio. A little Googling led me to a course on edx.org offered by Microsoft called Introduction to Artificial Intelligence . While it was at least 50% advertisement for some of Microsoft's cloud-based AI offerings, it was definitely worth the 10 or so hours I put into it over the last 24 hours. This was a fairly high-level course that discussed aspects of statistical techniques like regression, categorization and clustering, as well as more advanced concepts including artificial intelligence (AI), natural language processing (NLP), and chatbots. Overall, what I learned wasn't so much about these topics, but how much Microsoft's ML Studio has to offer in the way of getting you up and running quickly and easily with these technologies. Having said that, it's Microsoft, and there were several things that didn't work as they should have, as I expected. Full disclosure: I'm an AWS certified ...
I'm putting together a series of blog posts on Python for R programmers, and I figured I'd use the Boston dataset of Boston housing prices. It's a pretty well-known dataset for regression, and it's included in R in the MASS package and in Python in sklearn.datasets . I know the data originally came from UCI, so I wanted to give credit where credit was due. When I clicked the first few Google links that appeared, I got this message on the UCI site: I'm sorry, the dataset "housing" does not appear to exist. Weird that they're not linked at all, but I found these links. Here's the link to the dataset in their archive. Here's the link to the data dictionary. Enjoy!