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Using Bayesian Optimization to Tune Deep Learning Pipelines by Scott Clark
Bayesian Optimization for Hyperparameter Tuning with Scott Clark - #50
Applied ML with KerasCV & KerasNLP - Shilpa Kancharla
Scott Clark, CEO & Co-Founder, SigOpt at MLconf Seattle 2017
Modeling at Scale in Algorithmic Trading with SigOpt
Supporting Rapid Model Development at Two Sigma with Matt Adereth & Scott Clark - TWIML Talk #273
Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata - Jaya Kawale
#51: SigOpt: Optimizing Everything with Python
Critical Capabilities of Optimization in the Enterprise
Supply Path Optimisation - Building Machine Learning Solutions
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Last Updated: October 14, 2026
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This talk video is a node in devreal.ai, the developer community graph. It connects to: Talk: Presentation slides: slideshare.net/SessionsEvents/ In this talk we introduce Bayesian As you all know, a few weeks ago, I spent some time in SF at the Artificial Intelligence Conference. While I was there, I had just ... Shilpa highlights the challenges of keeping up with the ever-evolving landscape of Visit our website: bit.ly/2GtXaiw Today we're joined by Matt Adereth, managing director of investments at Two Sigma, and return guest talkpython.fm/episodes/show/51/sigopt- Building on the TWIML eBook, TWIMLcon event and TWIML podcast series that explore This is a talk by Zak Reynolds,
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