You're reading from AI Strategies for Web Development Build next-gen, intelligent websites by unleashing AI's power in design, personalization, and ethics

Product type Paperback

Published in Sep 2024

Publisher Packt

ISBN-13 9781835886304

Length 458 pages

Edition 1st Edition

Concepts

Web Programming

Author (1):

Anderson Soares Furtado Oliveira

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Table of Contents (25) Chapters

Preface

1. Part 1: Embarking on the AI Revolution in Web Development FREE CHAPTER

2. Chapter 1: AI’s Role in Shaping Web Development

3. Chapter 2: Mastering the Essentials – AI Fundamentals

4. Chapter 3: Challenges and Opportunities – Integrating AI into Web Projects

5. Chapter 4: Navigating the Landscape: Popular AI and ML Frameworks and Tools

6. Chapter 5: Blueprints of the Future – Architecting Effective AI Solutions

7. Part 2: Crafting the Future: Creating Cutting-Edge AI Applications

8. Chapter 6: Design Intelligence – Creating User-Centric Experiences with AI

9. Chapter 7: Recognizing Patterns – Personalizing User Journeys with AI

10. Chapter 8: Coding Assistants – Your Secret Weapon in Modern Development

11. Chapter 9: Smarter User Interactions – Elevating User Engagement with Advanced AI

12. Chapter 10: Smart Testing Strategies – Fortifying Web Applications with AI Insights

13. Part 3: Future-Proofing Web Development – Advanced AI Strategies

14. Chapter 11: Augmented Workforce – AI’s Impact on Web Development Jobs

15. Chapter 12: Machine Users Unveiled – Navigating the Intersection of Human and Machine

16. Chapter 13: AI-Augmented Development – Shaping Tomorrow’s Digital Landscape

17. Chapter 14: From Idea to Reality – Crafting Intelligent Web Applications

18. Chapter 15: Guardians of the Digital Realm – Navigating Trust, Risk, and Ethics in AI

19. Part 4: The Road Ahead – Anticipating Trends in AI and Web Development

20. Chapter 16: Next-Gen Development Environments and Advancements in AI Technologies

21. Chapter 17: Emerging Realities and Interfaces

22. Chapter 18: AI Regulation and Governance – Compliance with the EU’s AI Act and ISO/IEC 42001 Standards

23. Index

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Technical requirements

Before diving into the implementation of our project, it’s essential to ensure that we have all the necessary tools and dependencies in place. This section will outline the technical requirements needed for our project setup.

Python 3.7 or later (https://www.python.org/)
Flask (https://flask.palletsprojects.com/)
PyTorch (https://pytorch.org/get-started/locally/)
NLTK (https://www.nltk.org/install.html)
Pandas (https://pandas.pydata.org/)
Scikit-learn (https://scikit-learn.org/stable/index.html)

Data Set

Download the Sentiment140 dataset from the provided link http://cs.stanford.edu/people/alecmgo/trainingandtestdata.zip. This dataset will serve as the foundation for our sentiment analysis project.