Big data is not just about storage of and access to data. Analytics play a big role in making sense of that data and exploiting its value. But learning from big data has become a significant challenge and requires development of new types of algorithms. Most machine learning algorithms canμt easily scale up to big data. Plus there are challenges of high-dimensionality, velocity and variety.
The neural network field has historically focused on algorithms that learn in an online, incremental mode without requiring in-memory access to huge amounts of
