Learn how to use permutation testing to validate your machine learning models using Sklearn. This video breaks down the ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

A research team from Skoltech, AIRI, Tomsk Polytechnic University, and Sber has proposed and tested an approach to predicting ...

A machine learning model may be reliable for determining risk for postpartum depression, underscoring the need for greater ...

allowing for automated testing, versioning, and deployment of models using MLOps best practices. What tools does Azure Machine Learning offer for monitoring and managing deployed models? Azure Machine ...

If you plan to use machine learning for research, consider ChatGPT’s shortcomings and inquire about AI tools’ training data and benchmarking performance ...

Away from journals, peers credit Bairi with mentoring QA engineers transitioning to SDET roles, emphasizing object-oriented design and the discipline of treating tests as first-class code. That ...

MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.