Natural Language Understanding with Python: Combine natural language technology, deep learning, and large language models 9781804613429
Build advanced Natural Language Understanding Systems by acquiring data and selecting appropriate technology. Key Featur
374 63 13MB
English Pages 326 Year 2023
Table of contents :
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
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
- Author / Uploaded
- Deborah A. Dahl
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