ML.NET is aimed at providing the end-end workflow for consuming ML into .NET apps across various steps of machine learning
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Machine learning uses algorithms to turn a data set into a predictive model. Which algorithm works best depends on the problem
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We heard so much about machine learning at Google I/O this year.
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TCAV is short for Testing with Concept Activation Vectors and its a technology that can identify high concept signals and therefore defend against bias.
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MIT researchers have devised a method that detects inputs called “adversarial examples” that cause neural networks to misclassify inputs, to better measure how robust the models are for various real-world tasks.
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Machine learning uses algorithms to turn a data set into a predictive model. Which algorithm works best depends on the problem
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Comforte AG's Anna Russell explains why organizations should be doing more to protect their valuable data.
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