Natural Language Understanding with Python
Natural language understanding can address a wide range of problems, from managing smart homes to chatbots to creative writing. Natural Language Understanding with Python covers the full range of techniques for understanding natural language, including the new large language models. With clear explanations and examples, this book will equip you to apply NLU for various applications.
Offered by
Difficulty Level
Intermediate
Completion Time
10h52m
Language
English
About Book
Who Is This Book For?
This book is for python developers, computational linguists, linguists, data scientists, NLP developers, conversational AI developers, and students looking to learn about natural language understanding (NLU) and applying natural language processing (NLP) technology to real problems. Anyone interested in addressing natural language problems will find this book useful. Working knowledge in Python is a must.
Natural Language Understanding with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h52m total length
Natural Language Understanding, Related Technologies, and Natural Language Applications
Identifying Practical Natural Language Understanding Problems
Approaches to Natural Language Understanding – Rule-Based Systems, Machine Learning, and Deep Learning
Selecting Libraries and Tools for Natural Language Understanding
Natural Language Data – Finding and Preparing Data
Exploring and Visualizing Data
Selecting Approaches and Representing Data
Rule-Based Techniques
Machine Learning Part 1 - Statistical Machine Learning
Machine Learning Part 2 – Neural Networks and Deep Learning Techniques
Machine Learning Part 3 – Transformers and Large Language Models
Applying Unsupervised Learning Approaches
How Well Does It Work? – Evaluation
What to Do If the System Isn’t Working
Summary and Looking to the Future
Related Resources
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