Presented by Jason Robey
Cloud Solution Architect, Data & AI, Microsoft
This talk is a two-parter. Microsoft Cloud Solution Architect Jason Robey joins us on April 18th to share two areas of great interest for our members.
The first area of discussion will be on the establishment of a data lake: governance and best practices and how to keep your lake ecosystem healthy and vibrant. Have you swam in a data lake before? Has your company? No matter what your experience level this portion of the talk should offer some great tips.
The second half of Jason’s talk will be on automated machine learning (AutoML). Automating the construction and tuning of machine learning models has long been a goal for many analytics teams. Existing automated machine learning (AutoML) techniques have been remarkably successful in identifying good parameters for a given model, sometimes even outperforming humans. AutoML iterates over many combinations of machine learning algorithms and parameters. It then finds the best-fit model based on your chosen accuracy metric. Jason will demo some of these experiments during the second half of his presentation.