Spark NLP Schulungen

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Spark NLP Schulungen

Online oder vor Ort, von Lehrern geleitete Live-Spark-NLP-Schulungen veranschaulichen durch interaktive praktische Übungen, wie Spark NLP, das auf Apache Spark aufbaut, zum Entwickeln, Implementieren und Skalieren von Textverarbeitungsmodellen und Pipelines in natürlicher Sprache verwendet wird. Das Spark NLP-Training ist als „Online-Live-Training“ oder „Vor-Ort-Live-Training“ verfügbar. Das Online-Live-Training (auch „Remote-Live-Training“) wird über einen interaktiven Remote-Desktop durchgeführt. Vor-Ort-Live-Schulungen können vor Ort beim Kunden in Schweiz oder in den Schulungszentren von NobleProg in Schweiz durchgeführt werden. NobleProg – Ihr lokaler Schulungsanbieter

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Spark NLP Course Outlines

Name des Kurses
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Name des Kurses
Dauer
Überblick

Skalierung von Datenpipelines mit Spark NLP

14 Stunden
Spark NLP is an open source library, built on Apache Spark, for natural language processing with Python, Java, and Scala. It is widely used for enterprise and industry verticals, such as healthcare, finance, life science, and recruiting. This instructor-led, live training (online or onsite) is aimed at data scientists and developers who wish to use Spark NLP, built on top of Apache Spark, to develop, implement, and scale natural language text processing models and pipelines. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start building NLP pipelines with Spark NLP.
  • Understand the features, architecture, and benefits of using Spark NLP.
  • Use the pre-trained models available in Spark NLP to implement text processing.
  • Learn how to build, train, and scale Spark NLP models for production-grade projects.
  • Apply classification, inference, and sentiment analysis on real-world use cases (clinical data, customer behavior insights, etc.).
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.

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