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Subscribe to this list via RSS Blog posts tagged in machine learning
The last significant breakthrough in the technology of statistical machine translation (SMT) was in 2005. That year, David Chiang published his famous paper on hierarchical translation models that allowed to significantly improve the quality of statistical MT between distant languages. Nowadays we are standing on the verge of an even more exciting moment in MT history: deep learning (DL) is taking MT towards much higher accuracy and finally brings human-like semantics to the translation process. In general terms, DL is a family of machine learning algorithms that use multilayer artificial neural networks to efficiently learn representation of high-level features from noisy...
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In a recent NPR news piece Uber Plans To Kill Surge Pricing, Though Drivers Say It Makes Job Worth It, Jeff Schneider, engineering lead at Uber describes how they are using machine learning to hack the problem of supply and demand. Initially, Uber came up with "Surge Pricing" as a feature designed to help mitigate the phenomenon of demand outstripping supply in a certain area at a certain time. Concretely, that means that when some event causes lots of people to need transportation at the same time in generally the same location, the Uber fare will automatically increase. This increase incentivizes...
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