Twitter recently introduced a pilot project called Twitter Data Grants through which a handful of research institutions are given access to the company’s public and historical data. More than 500 million Tweets a day are generated by the Twitter microblogging service. Such an expansive set of data can allow data scientists to glean insights and learn about a variety of topics.
The father of the S language which ultimately became R, Dr. John Chambers, sits down with Professor Trevor Hastie of the Stanford University Statistics Department to discuss the long and fascinating history of the R language.
Humor is a very human phenomenon. Can a machine appreciate humor? This reminds me of a scene from the 1994 movie “Star Trek: Generations” where the android Lt. Commander Data discovers humor. After having his emotion chip activated, Data finds everything amusing.
I am convinced we’re at an important inflection point in the timeline of the discipline of computer science. When compared to other disciplines like mathematics, physics and biology, computer science is a very young field, starting around 1964. But something is happening now, in 2014, that is propelling the field into a new evolutionary period.
One of the unwritten axioms of data scientists specializing in machine learning methodologies is that they all try their hand at predicting the stock market. Some of the best attempts have turned a tidy profit, still others have seen their way into the top hedge fund companies.
The “How Machine Learning Works” lecture series concludes by developing some machine learning python code from scratch. We use real valued numbers sampled from two different Gaussians with different priors.
Machine learning technologies have seen many inroads into the advertising industry primarily to make for more intelligent buys and placements in order to deliver a brand message to a selected audience. Here are some compelling SLIDES from a lecture at the New York University Stern School of Business by Foster Provost, Professor of Information Systems: “Machine Learning for Display Advertising.”