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AI for Absolute Beginners: A Clear Guide to Tomorrow

You're reading from  AI for Absolute Beginners: A Clear Guide to Tomorrow

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781835886526
Pages 188 pages
Edition 1st Edition
Languages
Author (1):
Oliver Theobald Oliver Theobald
Profile icon Oliver Theobald

Table of Contents (13) Chapters

1. Introduction
2. A Brief History
3. AI Building Blocks
4. The 3 Stages of AI Development
5. Machine Learning
6. Deep Learning
7. Natural Language Processing
8. Generative AI
9. Recommender Systems
10. Computer Vision
11. Privacy & Ethical Considerations
12. The Future of Work
13. Further Resources

Natural Language Processing

 

Beyond numerical data, a vast amount of human knowledge and experience is captured in text and audio. The ubiquity of words in daily life and the need for effective human-computer interactions make the ability to process human language a crucial part of artificial intelligence.

As a multidisciplinary field straddling linguistics, computer science, and AI, natural language processing empowers computers with the capability to understand and reproduce human language. Inspired by linguistics—the study of language and semantics—NLP was originally designed for parsing text in databases using coding rule systems, but over time, it merged with common algorithms from machine learning to evolve into a novel and specialized field of computational linguistics. Now, as a field of its own, NLP involves analyzing human language with reduced emphasis on quantitative problem-solving, which is typically the focus of other subfields related to AI.

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