Crissman Loomis, AI Engineer, Preferred Networks
Bill Heffelfinger, Principal Solutions Architect, CloudFactory
Bill has been building and leading global teams of exceptional technical and functional subject matter experts for more than 3 decades. He worked as Technical Executive Sponsor with select customers like the CERN, the National Ignition Facility at Lawrence Livermore National Labs, and several large financial institutions while at NetApp and Nimble Storage. Now Bill works as Principal Solutions Architect at CloudFactory.
Optuna: A Define-by-Run Hyperparameter Optimization Framework
In this workshop, we introduce Optuna, a next-generation hyperparameter optimization framework with new design-criteria: (1) define-by-run API that allows users to concisely construct dynamic, nested, or conditional search spaces, (2) efficient implementation of both sampling and early stopping strategies, and (3) easy-to-setup, versatile architecture that can be deployed for various purposes, ranging from scalable distributed computing to lightweight experiment conducted in a local laptop machine. Our software is available under the MIT license.
Introducing the Data Production Line for Machine Learning
Data operations are the new AI factory model. Data is your raw material, and you have to move it through multiple processing and review steps before it’s ready for machine learning (ML). Developing high-performing ML models requires a strategic combination of people, tools, and process working together to structure massive data with high quality. In this segment, CloudFactory will share best practices for your data production line.