Researchers have created a taxonomy and outlined steps that developers can take to design features in machine-learning models that are easier for decision-makers to understand. Explanation methods ...
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Explainable machine learning is a sub-discipline of artificial intelligence (AI) and machine learning that attempts to summarize how machine learning systems make decisions. Summarizing how machine ...
Verdict on MSN
Google introduces Nested Learning
The method conceptualises neural models as collections of interconnected optimisation problems functioning across multiple levels.
"Machine learning algorithms enable vehicles to 'learn' from real-world conditions and evolve," says Dr. Rohit Ugle, a visionary Technical Specialist who champions new technological tools to improve ...
Explanation methods that help users understand and trust machine-learning models often describe how much certain features used in the model contribute to its prediction. For example, if a model ...
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