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Itinerary
Presentations:
Dimension reduction, and word embeddings, in Natural Language Processing - by Darren Cook
Darren will talk about dimension reduction, and word embeddings in particular: the technology underlying a lot of the recent advances in natural language processing. He will show the same example in both English and Japanese, so you can get a good feel for what bits are common between languages, and what still needs language-specific processing.
Darren Cook is a data scientist, and director at QQ Trend Ltd. He is author of two O'Reilly books, one on low-latency streaming to the browser, one on the H2O machine learning system. Currently based in the U.K., after nearly 20 years in Japan. A TLUG member since forever, but only gets to a meeting once every five years or so...