Machine-Learning on Victoria Dyster, PhDhttp://victoriadyster.com/tags/machine-learning/Recent content in Machine-Learning on Victoria Dyster, PhDHugo -- gohugo.ioen© 2026 Victoria Dyster, PhDMon, 01 Sep 2025 00:00:00 +0000Building a Private MLOps Platform on AWShttp://victoriadyster.com/projects/private-mlops-platform-aws/Mon, 01 Sep 2025 00:00:00 +0000http://victoriadyster.com/projects/private-mlops-platform-aws/How I deployed MLflow as a authenticated experiment tracking server on AWS and integrated it into a reusable ML toolkit.Using Learning Curves to Know Whether More Data Will Helphttp://victoriadyster.com/blog/learning-curves-sample-size/Mon, 10 Mar 2025 00:00:00 +0000http://victoriadyster.com/blog/learning-curves-sample-size/Learning curves won’t tell you exactly how many samples to collect, but they will tell you whether collecting more is worth it at all. In domains where each sample costs real money, that’s the question that actually matters.Building a Reusable ML Toolkit for Genomic Modelshttp://victoriadyster.com/projects/ml-toolkit/Sat, 01 Mar 2025 00:00:00 +0000http://victoriadyster.com/projects/ml-toolkit/A Python package with a YAML-driven pipeline builder and a prediction CLI.When Random Features Work Just as Wellhttp://victoriadyster.com/blog/when-random-features-work-just-as-well/Mon, 20 Jan 2025 00:00:00 +0000http://victoriadyster.com/blog/when-random-features-work-just-as-well/On the counterintuitive finding that randomly selecting features from high-dimensional genomic data often matches the performance of careful feature engineering and why that makes mathematical sense.Scaling ML Training for Epigenetic Age Predictionhttp://victoriadyster.com/projects/epigenetic-age-prediction/Fri, 15 Nov 2024 00:00:00 +0000http://victoriadyster.com/projects/epigenetic-age-prediction/How parallelising hyperparameter tuning on SageMaker turned a single-instance grid search into a 100x faster training workflow.