Machine learning models can produce reliable results even with limited training data
Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less
Cambridge University News •
cambridge
Sept. 19, 2023 • ~4 min
Sept. 19, 2023 • ~4 min
Women in STEM: Dr Anita Faul
Dr Anita Faul is a Teaching Associate at the Cavendish Laboratory and a Fellow of Selwyn College, where she specialises in algorithms. Here, she tells us about what it's like to teach at Cambridge and whether we can trust the answers that computers give us.
Cambridge University News
• cambridge
Aug. 8, 2019 • ~4 min
Aug. 8, 2019 • ~4 min
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