An ML project ties together large datasets, a slow training process without clear pass/fail acceptance tests, and contains multiple types of deliverables. By comparison, a classical software project just contains code and has a single deliverable (an appl... (more…)
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We review state-of-the-art formal methods applied to the emerging field of
the verification of machine learning systems. Formal methods can provide
rigorous correctness guarantees on hardware and software systems. Thanks to the
availability of mature tool... (more…)
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Functional machine learning for fun. Contribute to mcleonard/xaby development by creating an account on GitHub. (more…)
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A keynote talk from Code BEAM Europe 2023✨Follow as and don't miss any info about Code BEAM conferences: https://twitter.com/CodeBEAMio ✨Christopher Grainger... (more…)
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machine learning for automated website categorization. artificial intelligence, nlp, word embeddings, supervised learning, semisupervised learning, features... (more…)
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