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AI-Assisted Programming for Web and Machine Learning. Improve your development workflow with ChatGPT and GitHub Copilot

AI-Assisted Programming for Web and Machine Learning. Improve your development workflow with ChatGPT and GitHub Copilot

Christoffer Noring, Anjali Jain, Marina Fernandez, Ayşe Mutlu, Ajit Jaokar

Ebook
AI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks.

Part 1 focuses on coding, from building a user interface to the backend. You’ll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you’ll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code.

Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You’ll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases.

The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You’ll see how simpler and AI-powered agents work and discover tool calling.
  • 1. It's a New World, One With AI Assistants, and You're Invited
  • 2. Prompt Strategy
  • 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
  • Tytuł: AI-Assisted Programming for Web and Machine Learning. Improve your development workflow with ChatGPT and GitHub Copilot
  • Autor: Christoffer Noring, Anjali Jain, Marina Fernandez, Ayşe Mutlu, Ajit Jaokar
  • Tytuł oryginału: AI-Assisted Programming for Web and Machine Learning. Improve your development workflow with ChatGPT and GitHub Copilot
  • ISBN: 9781835083895, 9781835083895
  • Data wydania: 2024-08-30
  • Format: Ebook
  • Identyfikator pozycji: e_3ptq
  • Wydawca: Packt Publishing