# New York City Foursquare Data Video

Blake Shaw, a data scientist at Foursquare, gave a great talk at Datagotham. The visualization of New York City check-ins, at the beginning of the video, is simply amazing. It is worth watching the video just for that. However, after seeing that great visualization, you will be persuaded to watch the rest of the video. This talk is an excellent example of what good data science and visualization can do.

# The Statistical Sleuth in R

Nicholas Horton, Professor of Statistics at Smith College, has published a nice set of R tutorials that go along with the book The Statistical Sleuth. If you are looking to learn R, this might be a good place to start.

Once again, see the R tutorials here.

# Machine Learning from CalTech

Once again, California Institute of Technology will be broadcasting Learning From Data online. This is an introductory course on machine learning. All of the videos are broadcast live, and online homework and discussion forums are available. I have not participated in the course, so I would love some comments about how this class compares with the Coursera machine learning course.

# Free Open-Source Statistics Cookbook

Matthias Vallentin, a computer science PhD student at UC Berkeley, has published a Probability and Statistics Cookbook. The book can be freely downloaded in PDF format via the website. Also, the latex source is available on Github. Matthias states that others are free to fork the source and make changes.

The book is not a textbook. It is more of a cheatsheet. It contains many of the common probability and statistics techniques and the associated formula. I would consider this book to be an excellent resource to have around.

# Numberfire does Sports Analytics

Have you ever seen the movie Moneyball? It is about winning baseball games with a low budget and great data science (that is a gross oversimplification). Well, Numberfire tries to do that on way more sports than just baseball. Numberfire considers themselves a Sports Analytics company. I had never heard of Numberfire before, and just the other day I was wondering if there are companies trying to provide better data for people playing fantasy football. So, the timing of this video was excellent for me. Nik Bonaddio, the CEO of Numberfire, gives a quick overview of what Numberfire does and how it works. Hint, it involves lots of Markov Chains.

By the way, if you have not seen the movie Moneyball, I highly recommend it.

“The Human Face of Big Data” is an intriquing project. Check it out.

Imagine if you could have interacted with today’s www fifteen years ago. I believe that ‘Big Data’ is going to have an even more profound effect than the internet has had on our lives, our work and even our play! The Human Face of Big Data is a project that is designed to give us a glimpse into this future. (www.thehumanfaceofbigdata.com)

To me this thing that is being called ‘Big Data’ is quite simply a shift in what we use technology for. In the past technology has in general automated what we could already do manually. We could keep customer records, write out purchase orders, hand write notes, even walk over and talk to people! (OK that last one was a lot harder if they lived on the other side of the world!)

The current transition is where we use technology to supplement our brains, which it is said can…

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# Jake Porway of DataKind

Jake Porway of DataKind gives another entertaining talk. This one is more of a Superhero story. Just watch the video, and it will make sense.