Background of Agent Based Hyperparameter Optimization For Gradient Boosted Trees Pycon De Pydata 2026
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Architecture Under Constraints: Designing Systems That Still Evolve [PyCon DE & PyData 2026]
Python Libraries for Hyperparameter Tuning | Hyperparameter Optimization
Dan Ryan: Efficient and Flexible Hyperparameter Optimization | PyData Miami 2019
Visual Guide to Gradient Boosted Trees (xgboost)
Data Pipeline Hyperparameter Optimization - Alex Quemy
Personalized Restaurant Recommendations at Scale combining Transformer with Gradient-Boosted Ranking
Holistic Optimization: Implementing Pipeline-as-a-Trial HPO with Ray and Cloud Infra
Destructive Testing: 10 Practical Ways to Expose Hidden Application Risks [PyCon DE & PyData 2026]
Peter Prettenhofer - Gradient Boosted Regression Trees in scikit-learn
Making my Apache Spark™ talk more interesting using AI [PyCon DE & PyData 2026]
Learnings Building DevOps as a Software Engineer [PyCon DE & PyData 2026]
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Last Updated: August 19, 2026
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