Data Skeptic Data Scientist
This workshop will introduce participants to the theory and practice of machine learning in production. The workshop will begin with a crash course in machine learning models and data science systems and then discuss data pipelines,
containerization, real-time vs. batch processing, change management and versioning.
The practical portion will show how to construct models in R, python, and Spark, and continue with a discussion of API services, RESTful wrappers/Docker, PMML/PFA, Onyx, SQLServer embedded models, and