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O'Reilly - Building Pipelines for Natural Language Understanding with Spark
O'Reilly - Building Pipelines for Natural Language Understanding with Spark
Duration: 1h 32m | Video: h264, yuv420p 1280x720 | Audio: aac, 44100 Hz, 2 ch | 1.1 GB
Genre: eLearning | Language: English

by Alex Thomas, David Talby
Publisher: O'Reilly Media, Inc.
Release Date: December 2016
ISBN: 9781491978139
Topics: Scala

The course is designed for engineers and data scientists who have some familiarity with Scala, Apache Spark, and machine learning who need to process large natural language text in a distributed fashion.We will use sample of posts from the subreddit /r/WritingPrompts, which contains short stories and comments about the short stories.
The course has four parts
1. Building a natural language processing and entity extraction pipeline on Scala & Spark
2. Machine Learning Applications for Statistical Natural Language Understanding at Scale
3. Topic Modeling on Natural Language with Scala, Spark and MLLib.
4. Deep Learning Applications for Natural Language Understanding with Scala, Spark and MLLibYou will learn how use Apache Spark to process text with annotations, use machine learning with your annotations, create and use topic models, create and use a word2vec model.
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