Using Deep Learning to Find Insights in Mounds of Messy Data

Deep learning allows us to teach a computer by example. This enables a knowledge worker to throw examples at the computer and use them to teach it how they want their data to be analyzed and understood. In the context of unstructured data where it is often very difficult to codify all the underlying rules that make something interesting, this goes a long way. This approach allows us to approximate human intuition and is a big part of the reason why deep learning techniques deliver the best accuracies today. Second, is the emergence of transfer learning.