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

Speed up your development processes and improve your productivity by writing practical and relevant prompts to build web applications and Machine Learning (ML) models

Purchase of the print or Kindle book includes a free PDF copy

Key Features
Utilize prompts to enhance frontend and backend web development
Develop prompt strategies to build robust machine learning models
Use GitHub Copilot for data exploration, maintaining existing code bases, and augmenting ML models into web applications
Book Description
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.

What you will learn
Speed up your coding and machine learning workflows with GitHub Copilot and ChatGPT
Use an AI-assisted approach across the development lifecycle 
Implement prompt engineering techniques in the data science lifecycle
Develop the frontend and backend of a web application with AI assistance 
Build machine learning models with GitHub Copilot and ChatGPT 
Refactor code and fix faults for better efficiency and readability 
Improve your codebase with rich documentation and enhanced workflows 
Who this book is for
Experienced developers new to GitHub Copilot and ChatGPT can discover the best strategies to improve productivity and deliver projects quicker than traditional methods. This book is ideal for software engineers working on web or machine learning projects. It is also a useful resource for web developers, data scientists, and analysts who want to improve their efficiency with the help of prompting. This book does not teach web development or how different machine learning models work.

Table of Contents
It's a New World, One With AI Assistants, and You're Invited
Prompt Strategy
Tools of the Trade: Introducing Our AI Assistants
Build the Appearance of Our App with HTML and Copilot
Style the App with CSS and Copilot
Add Behavior with JavaScript
Support Multiple Viewports Using Responsive Web Layouts
Build a Backend with Web APIs
Augment Web Apps with AI Services
Maintaining Existing Codebases
Data Exploration with ChatGPT
Building a Classification Model with ChatGPT
Building a Regression Model for Customer Spend with ChatGPT
Building an MLP Model for Fashion-MNIST with ChatGPT
Building a CNN Model for CIFAR-10 with ChatGPT
Unsupervised Learning: Clustering and PCA