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ABSTRACT: Introduction
Data science training has the potential to propel environmental health research efforts into territories that remain untapped and holds immense promise to change our understanding of human health and the environment. Though data science training resources are expanding, they are still limited in terms of public accessibility, user friendliness, breadth of content, tangibility through real-world examples, and applicability to the field of environmental health science.Methods
To fill this gap, we developed an environmental health data science training resource, the inTelligence And Machine lEarning (TAME) Toolkit, version 2.0 (TAME 2.0).Results
TAME 2.0 is a publicly available website that includes training modules organized into seven chapters. Training
SUBMITTER: Payton A
PROVIDER: S-EPMC11860945 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature