Mastering spaCy
Using machine learning-based NLP models, you can speed up business processes, make more accurate predictions, and uncover new insights from your existing data, where spaCy, an advanced industrial-grade natural language processing library, can help. With this book, you'll learn how to use it and create high-impact ML solutions for NLP.
Offered by
Difficulty Level
Intermediate
Completion Time
11h52m
Language
English
About Book
Who Is This Book For?
This book is for data scientists and machine learners who want to excel in NLP as well as NLP developers who want to master spaCy and build applications with it. Language and speech professionals who want to get hands-on with Python and spaCy and software developers who want to quickly prototype applications with spaCy will also find this book helpful. Beginner-level knowledge of the Python programming language is required to get the most out of this book. A beginner-level understanding of linguistics such as parsing, POS tags, and semantic similarity will also be useful.
Mastering spaCy
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h52m total length
Getting Started with spaCy
Core Operations with spaCy
Linguistic Features
Rule-Based Matching
Working with Word Vectors and Semantic Similarity
Putting Everything Together: Semantic Parsing with spaCy
Customizing spaCy Models
Text Classification with spaCy
spaCy and Transformers
Putting Everything Together: Designing Your Chatbot with spaCy
Related Resources
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