Daniel is an expert on machine learning, one of the most the critical areas of Big Data. He’s also an extremely talented writer armed with curiosity and a passion for analytics. As managing editor, Daniel has the right stuff for us to take the publication to the next level and make it a must-read for the Big Data community.
In one of Daniel’s first posts, he wrote about something called Bayesian statistics, a method of inference in which Bayes’ rule is used to update the probability estimate for a hypothesis as additional evidence is acquired. But as I learned, what it’s really about is degrees of belief.
When I launched insideBIGDATA two years ago, I was convinced Big Data was going to be the most exciting area of information technology for the next decade. And as I’ve made my way writing hundreds of articles on the subject, that resolution continues to be bolstered each and every day.
I believe that Big Data is going to be the most impactful thing since the Internet. And that’s very good news indeed for the HPC community, which stands to benefit greatly from a bigger ecosystem as a result.
If we are successful at insideBIGDATA, we will move your degrees of belief about Big Data as we continue to chart its journey. Please join us for the ride.
President, InsideHPC Media