Spark NLP Training Courses

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Spark NLP Training Courses

Онлайн или на място, водени от инструктори на живо Spark NLP обучителни курсове демонстрират чрез интерактивна практическа практика как да използвате Spark NLP, изграден върху Apache Spark, за разработване, прилагане и мащабиране на модели и конвейери за обработка на текст на естествен език. Обучението по НЛП на Spark се предлага като „онлайн обучение на живо“ или „обучение на живо на място“. Онлайн обучението на живо (известно още като „дистанционно обучение на живо“) се извършва чрез интерактивен отдалечен работен плот . Обучението на живо на място може да се проведе локално в помещенията на клиента в България или в корпоративните центрове за обучение на NobleProg в България. NobleProg -- Вашият местен доставчик на обучение

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Spark NLP Course Outlines

Име на Kурса
Продължителност
Общ преглед
Име на Kурса
Продължителност
Общ преглед

Мащабиране на тръбопроводи за данни с Spark NLP

14 hours
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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