Learning Path: Getting Started with Natural Language Processing Using Python, Spark, and Scala – Natural Language Training with Python, Spark and Scala
Whether you’re a programmer with little to no knowledge of Python or an experienced data scientist or engineer, this Learning Path will walk you through natural language processing using both Python and Scala and show you how to implement a range of popular tools. including Spark, scikit-learn, SpaCy, NLTK, and gensim for text mining.
You will learn the most common techniques for processing annotations and apply them within a data pipeline, and the differences between NLP pipelines and other approaches to semantic text mining. You will learn about standard UIMA annotators, custom annotators, and machine-learned annotations, and understand how the pipelines can handle some of the most popular large data tools such as Kafka, Spark, SparkSQL, Cassandra, and ElasticSearch.
By the end of the learning path, you will be able to build a natural language processing and entity extraction pipeline and will have a full understanding of the natural language text processing capabilities and limitations.
Manufacturer: Orly / O’Reilly
Teacher: O’Reilly Media, Inc.
Level of training: Elementary, Secondary, Advanced
Training time: 5 hours + 48 minutes
File size: 4370 MB
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