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The course covers the requirements elicitation process for AI applications and teaches participants how to work closely with data scientists and machine learning engineers to ensure that AI projects meet business goals. Check out AI & BigData Expo taking place in Amsterdam, California, and London.
The researchers trained models of various sizes on up to 100,000 hours of public domain speech data to see if they would observe the same performance leaps that occur in naturallanguageprocessing models once they grow past a certain scale. You can find the full BASE TTS paper on arXiv here.
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SA is a very widespread NaturalLanguageProcessing (NLP). Proceedings of the 2016 Conference on Empirical Methods in NaturalLanguageProcessing, pages 595–605. ALLDATA, The Second Inter-national Conference on BigData, Small Data, Linked Data and Open Data (2016).
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