February 2025
Intermediate to advanced
238 pages
5h 20m
English
Overview
Mastering spaCy is the definitive guide to developing industry-level NLP applications leveraging the state-of-the-art capabilities provided by the spaCy library. Through in-depth tutorials, you will learn how to build custom components, fine-tune models, integrate spaCy with LLMs, and take them to scalable production using tools like Weasel.
What this Book will help me do
- Understand and apply spaCy's data structures and pipeline system to NLP applications.
- Create custom pipeline components tailored for specific domain requirements.
- Build and fine-tune transformer models and apply them effectively in NLP workflows.
- Develop scalable NLP systems with third-party integration, including FastAPI and Streamlit.
- Employ advanced features like coreference resolution and semantic textual representations.
Author(s)
Duygu Altinok is an NLP expert and active contributor to the spaCy library, bringing years of practical experience in deploying real-world NLP systems. D0e9borah Mesquita is a leading data science educator and consultant specializing in simplifying complex topics and application-focused learning. Together, they provide a balanced and practical approach to spaCy.
Who is it for?
Ideal for NLP practitioners wanting to deepen their expertise and build production-ready NLP applications. Software engineers wishing to transition into NLP will also benefit greatly. Readers should have basic Python knowledge and an understanding of basic NLP concepts to get the most out of the material.
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