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 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.

• You’ll see how simpler and AI-powered agents work and discover tool calling.

There are tips on code generation, debugging, and troubleshooting code.