Get Me Out of Hillcrest

I've known ever since I moved here three years ago that one day I'd get the hell out of this neighborhood. I came here by mistake, and I leave by fortune.

What I like about Hillcrest

I can walk anywhere I want
Lalo's Tacos
Bronx Pizza
My bank has a branch nearby

What I dislike about Hillcrest

I'm heterosexual
It's expensive as f*ck
There's too much frigging construction
I can never find a parking space

So finally, the fabled "right time" came to pass. Yes, even for a middle-class guy like myself, it finally happened. I'm getting the hell out of here and moving to a neighborhood no one's ever heard of.

Escrow closes in about three weeks. Wish me luck.

Comments

Boston Housing Dataset Missing From UC Irvine's Site

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!

Homebrew Progress - Day 2

Here's a video I made of the homebrew today. Enjoy!

Introduction to Artificial Intelligence - Microsoft - DAT263x on edX

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 ...

understructure

Search This Blog