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
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
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Testimonials (3)
I liked that it was practical. Loved to apply the theoretical knowledge with practical examples.
Aurelia-Adriana - Allianz Services Romania
Course - Python and Spark for Big Data (PySpark)
The fact that we were able to take with us most of the information/course/presentation/exercises done, so that we can look over them and perhaps redo what we didint understand first time or improve what we already did.
Raul Mihail Rat - Accenture Industrial SS
Course - Python, Spark, and Hadoop for Big Data
very interactive...
