Tyler Freckmann is a Systems Engineer with SAS and helps clients achieve their data science goals. He studied computer science at UC Berkeley and has a background in software development. Since then, he has worked with clients in many different industries and across all areas of the data science lifecycle including data management, visualizations, machine learning, and application development.
Deep learning provides (relatively) new methods of automating a wide array of tasks historically thought only to be accomplished by the human brain. Applications range from difficult classifications and regressions to natural language understanding and image recognition. We will take a tour of different deep learning algorithms and applications, learn how different deep learning models are built, and see how to deploy deep learning models for real-time processing with SAS technology.