Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
- Spark NLP vs NLTK vs spaCy
- Overview of Spark NLP features and architecture
Getting Started
- Setup requirements
- Installing Spark NLP
- General concepts
Using Pre-trained Pipelines
- Importing required modules
- Default annotators
- Loading a pipeline model
- Transforming texts
Building NLP Pipelines
- Understanding the pipeline API
- Implementing NER models
- Choosing embeddings
- Using word, sentence, and universal embeddings
Classification and Inference
- Document classification use cases
- Sentiment analysis models
- Training a document classifier
- Using other machine learning frameworks
- Managing NLP models
- Optimizing models for low-latency inference
Troubleshooting
Summary and Next Steps
Requirements
- Familiarity with Apache Spark
- Python programming experience
Audience
- Data scientists
- Developers
14 Hours
Testimonials (5)
A lot of practical examples, different ways to approach the same problem, and sometimes not so obvious tricks how to improve the current solution
Rafał - Nordea
Course - Apache Spark MLlib
Sufficient hands on, trainer is knowledgable
Chris Tan
Course - A Practical Introduction to Stream Processing
practice tasks
Pawel Kozikowski - GE Medical Systems Polska Sp. Zoo
Course - Python and Spark for Big Data (PySpark)
The VM I liked very much The Teacher was very knowledgeable regarding the topic as well as other topics, he was very nice and friendly I liked the facility in Dubai.
Safar Alqahtani - Elm Information Security
Course - Big Data Analytics in Health
This is one of the best hands-on with exercises programming courses I have ever taken.
