The popular benchmark banded around about Apache Spark‘s machine learning library MLlib is that it is ten times faster than Hadoop based Apache Mahout as an environment for building [...]
Last week saw the New York City instalment of MLConf 2015 in a day which was bursting with insightful talks from respected experts who are at the leading edge of the commercial application of [...]
San Francisco’s Spark Meetup group is massive, yet whilst going along to some of these events can be a little intimidating, especially for the more socially awkward attendees, the group [...]
How do you figure out which lines of social media buzz translate into revenue opportunities? Sentiment analysis is a key part of how Quantifind approach the question by using their own blend of [...]
