Mastering spaCy, Second Edition is your comprehensive guide to building sophisticated NLP applications using the spaCy ecosystem. This revised edition embraces the latest advancements in NLP, featuring new chapters on Large Language Models with spaCy-LLM, transformers integration, and end-to-end workflow management with Weasel.
With this new edition you’ll learn to enhance NLP tasks using LLMs with spaCy-llm, manage end-to-end workflows using Weasel and integrating spaCy with third-party libraries like Streamlit, FastAPI, and DVC. From training custom named entity recognition (NER) pipelines to categorizing emotions in Reddit posts, readers will explore advanced topics like text classification and coreference resolution. This book takes you on a journey through spaCy’s capabilities, starting with the fundamentals of NLP, such as tokenization, named entity recognition, and dependency parsing. As you progress, you’ll delve into advanced topics like creating custom components, training domain-specific models, and building scalable NLP workflows.
By end of the book, through practical examples, clear explanations, tips and tricks you will be empowered to build robust NLP pipelines and integrate them with web applications to build end-to-end solutions.

Osoby które kupowały "Mastering spaCy. Build structured NLP solutions with custom components and models powered by spacy-llm - Second Edition", wybierały także:

• Windows Media Center. Domowe centrum rozrywki 66,67 zÅ‚, (8,00 zÅ‚ -88%)
• Ruby on Rails. Ćwiczenia 18,75 zÅ‚, (3,00 zÅ‚ -84%)
• Przywództwo w Å›wiecie VUCA. Jak być skutecznym liderem w niepewnym Å›rodowisku 58,64 zÅ‚, (12,90 zÅ‚ -78%)
• Scrum. O zwinnym zarzÄ…dzaniu projektami. Wydanie II rozszerzone 58,64 zÅ‚, (12,90 zÅ‚ -78%)
• Od hierarchii do turkusu, czyli jak zarzÄ…dzać w XXI wieku 58,64 zÅ‚, (12,90 zÅ‚ -78%)

Spis treści

Mastering spaCy. Build structured NLP solutions with custom components and models powered by spacy-llm - Second Edition eBook -- spis treści

• 1. Getting started with spaCy
• 2. Exploring spaCy Core Operations
• 3. Extracting Linguistic Features
• 4. Mastering Rule-Based Matching
• 5. Extracting Semantic Representations with spaCy Pipelines
• 6. Utilizing spaCy with Transformers
• 7. Enhancing NLP tasks using LLMs with spacy-llm
• 8. Training a NER pipeline component with spaCy
• 9. Creating End-to-End spaCy Workflows with Weasel
• 10. Training a Coreference Resolution pipeline
• 11. Integrating spaCy with third-party libraries