Research in Focus: Probablistic Programming
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260 дней – 24 00323:42Опубликовано 15 августа 2016, 19:50
The traditional machine-learning approach relied on developing thousands of specific algorithms, each good for teaching machines how to do one or a few particular things. Chris Bishop, Distinguished Scientist, Microsoft Research Cambridge, is devising a new paradigm for solving machine learning, involving a model-based approach and probabilistic programming, which deals with the messy, complicated uncertainty of real-world data.
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