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Tester’s Digest #65: Testing ML Models

TESTER’S DIGEST ISSUE #65 - July 8, 2018 How does one test Machine Learning (ML) models? We look at approaches to testing chatbots and DNNs for self-driving cars, checklists for ranking maturity of your ML, antipatterns to look out for, data science metrics for evaluating models, and compliance testing. Earlier Tester’s Digests on the subject covered adversarial attacks and more: http://testersdigest.mehras.net/2017/11/05/testers-digest-37-test-machine-learning.html http://testersdigest.mehras.net/2017/04/30/testers-digest-13-testing-data-science.html Topic: Testing ML Models How do you test a Deep Neural Network (DNN) which is the approach underlying modern self-driving cars? DeepTest system automatically generates test cases by...

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Published By: The Testing Planet - Sunday, 8 July