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AI-Assisted Programming for Web and Machine Learning

You're reading from   AI-Assisted Programming for Web and Machine Learning Improve your development workflow with ChatGPT and GitHub Copilot

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835086056
Length 602 pages
Edition 1st Edition
Languages
Tools
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Authors (5):
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Marina Fernandez Marina Fernandez
Author Profile Icon Marina Fernandez
Marina Fernandez
Ajit Jaokar Ajit Jaokar
Author Profile Icon Ajit Jaokar
Ajit Jaokar
Anjali Jain Anjali Jain
Author Profile Icon Anjali Jain
Anjali Jain
Christoffer Noring Christoffer Noring
Author Profile Icon Christoffer Noring
Christoffer Noring
Ayşe Mutlu Ayşe Mutlu
Author Profile Icon Ayşe Mutlu
Ayşe Mutlu
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Toc

Table of Contents (25) Chapters Close

Preface 1. It’s a New World, One with AI Assistants, and You’re Invited 2. Prompt Strategy FREE CHAPTER 3. Tools of the Trade: Introducing Our AI Assistants 4. Build the Appearance of Our App with HTML and Copilot 5. Style the App with CSS and Copilot 6. Add Behavior with JavaScript 7. Support Multiple Viewports Using Responsive Web Layouts 8. Build a Backend with Web APIs 9. Augment Web Apps with AI Services 10. Maintaining Existing Codebases 11. Data Exploration with ChatGPT 12. Building a Classification Model with ChatGPT 13. Building a Regression Model for Customer Spend with ChatGPT 14. Building an MLP Model for Fashion-MNIST with ChatGPT 15. Building a CNN Model for CIFAR-10 with ChatGPT 16. Unsupervised Learning: Clustering and PCA 17. Machine Learning with Copilot 18. Regression with Copilot Chat 19. Regression with Copilot Suggestions 20. Increasing Efficiency with GitHub Copilot 21. Agents in Software Development 22. Conclusion 23. Other Books You May Enjoy
24. Index

How to use this book

We believe the best way to use this book is to follow the chapters in order.

Chapter 2, with the prompting strategies, is the most important chapter in the book. These patterns and strategies are referred to throughout the book and are the foundation for how to use AI assistants effectively and responsibly.

The book is written in the following format:

  • Introduction: The first chapter aims to provide you with an overview of what this book is about, its goals, and who it is for.
  • Prompt strategy: The idea is to lay the foundation on how to break down problems within the domains of data science and web development. From this chapter, you will learn strategies you can adopt for your own problems.
  • Tools of the trade: The third chapter introduces you to our tools, GitHub Copilot and ChatGPT, what they are, how they work, and how to install them. However, the book is written in such a way that you can take any of the prompts we suggest and feed those into any AI assistant, and get a similar experience.
  • The remaining chapters of the book show how we use the prompt strategies from Chapter 2 and apply them to various domains from web development to data science and machine learning.

Happy reading!

Join our community on Discord

Join our community’s Discord space for discussions with the author and other readers:

https://packt.link/aicode

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