deriving-business-value-from-deep-learning

In my job as a data scientist, I spend my time driving machine learning research and making it work in the real world. NEW for 2016: Featuring a comprehensive market overview, the top questions to ask providers, and full one-page profiles of the top-28 vendors for your enterprise. The challenge with cleaning data for use in all types of machine learning is that each data set is different, and understanding a certain data set typically requires considerable "tribal" knowledge. He provides guidance for SAS and its customers on deriving substantive value from machine learning technologies and designs new data mining & machine learning approaches, focusing on neural networks and clustering.