Writing on AI, education, and running a business

10 min read

This will serve as an introduction to natural language processing. I adapted it from slides for a recent talk at Boston Python.

11 min read

I’ve seen a lot of articles lately about “Big Data” and the looming “talent gap.” This article from the Wall Street Journal is a good example. It cites a McKinsey estimate that states that we will need 1.5 million more managers and analysts who are conversant with “big data.” Of course, some of this is the media latching on the the next “big thing” (data), but some of it is true. Even anecdotal evidence, such as the number of job postings you find when you search for “data science,” indicates that there is a significant unmet demand for data analysis skills.

1 min read

Now we are on to the finals! The algorithm enters the finals with a 6-4 record so far. Here is what we have for tonight: So, let’s see if OKC wins this one.

1 min read

This is my second follow-up to my previous two posts which were about [predicting NBA games with an algorithm](http://viksalgorithms.blogspot.com/2012/05/predicting-nba-finals- with-r.html), and my [first update to the algorithm](http://viksalgorithms.blogspot.com/2012/06/predicting-nba-playoff- games-results.html). The algorithm’s record is now 3-1, as it correctly predicted Boston and Oklahoma City as winners of their past games.