February 2017
Intermediate to advanced
198 pages
3h 46m
English
Natural language has long been a goal of AI research and development, and 2016 was a banner year for technologies that support the parsing, understanding, and generating of text. Alyona Medelyan takes you right into NLP with strategies for scoping and tackling your project. Michelle Casbon then discusses using Spark MLLib for NLP, and Lior Shkiller looks at vectorization models and architectures to capture semantics.
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