Do data brokers act to serve man? Decide for yourself. The full title of the talk below is “Confessions of a Recovering Data Broker: Responsible Innovation in the Age of Big Data, Big Brother, and the Coming Skynet Terminators.” The presenter is Jim Adler, VP of Products, Metanautix.
Data Science is the key to unlocking insight from Big Data: by combining computer science skills with statistical analysis and a deep understanding of the data and problem we can not only make better predictions, but also fill in gaps in our knowledge, and even find answers to questions we hadn’t even thought of yet.
In the thought-provoking video below, Professor Yann LeCun, Director of AI Research at Facebook, sat down for a fireside chat at December 2014’s edition of Data Driven NYC to discuss deep learning and the future of artificial intelligence.
With the big data education resource below, you can learn about data modelling in a NoSQL environment.
Provided by our friends over at Edureka, Module 1 of their Apache Cassandra course below discusses the fundamental concepts of using a highly-scalable, column-oriented database to implement appropriate use cases.
Support Vector Machines (SVM) is an important and widely used machine learning algorithm. In order to fully understand SVMs, you need to have a fundamental understanding of how the statistical learning method functions. Here is a useful lecture on SVM coming from MIT OpenCourseware.