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How Intel Uses SigOpt to Democratize Recommendation Systems
Intel Sessions at the 2021 SigOpt Summit
How Intel is Democratizing Access to Building Effective Recommendation Systems
SigOpt
Full SigOpt Demo: Intelligent Experimentation
Supercharging a 1st Place Kaggle Solution to Higher Performance with Intel's David Austin
Get Started with Intel® Extension for PyTorch* on GPU | Intel Software
Configure Intel® VTune™ Profiler for Performance Analysis | An Introduction | Intel Software
Faster, Better Training for Recommendation Systems with Intel's Ke Ding: SigOpt Summit 2021
Mindtree Uses Intel and SigOpt to Improve Performance and Accuracy
Recap of the 2021 SigOpt Summit
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Last Updated: September 22, 2026
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Summary
With our easy-to-use API, you can now track runs, visualize training curves and optimize hyperparameters in a single place with a ... AI is transforming industries, and modelers are shaping AI. But to get the AI right, modelers need to experiment—a lot. Recommendation systems are expensive and complicated to build and train—but they don't have to be. In this short video, ... The Statoil Iceberg Classifier Challenge in 2018 was Kaggle's most popular image classification challenge in terms of competing ... Learn how to get started running PyTorch inference on an Bhanu Prakash, a Program Architect at Mindtree, shares how incorporating tools from In this short clip, Michael McCourt,