"Probabilistic Machine Learning" - a book series by Kevin Murphy - probml/pml-book... (more…)
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Posted by Hsu-Chieh Lee, Xing Chen, Software Engineers, and Qian An, Analyst In Part 1 and Part 2 of this series on app discovery, we d...
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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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We dive deep into the world of transformer models for machine learning, and explain how they work by translating an English sentence to German. (more…)
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Transparent machine learning is a research proposal that would enable machine learning to produce source code in typical programming languages that humans ca... (more…)
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