AI-assisted Programming for Web and Machine Learning
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Programming & Computer Science

AI-assisted Programming for Web and Machine Learning

by Dr. Muralidhar Kurni, Ramesh Krishnamaneni, Dr. Srinivasa K. G.

BPB Publications · PublisherJanuary 1, 2026 · Published765 pagesEnglishPDF / EPUB

About this book

Unlock the potential of AI in programming with 'AI-assisted Programming for Web and Machine Learning.' This book is your guide to integrating AI tools like GitHub Copilot and ChatGPT into your development workflow. Written by experts, it offers practical insights into how AI can automate tasks from HTML generation to machine learning model optimization.

What You'll Learn

  • Integrate AI tools into your development environments
  • Automate HTML and CSS generation using AI
  • Optimize backend workflows with AI solutions
  • Design effective prompts for accurate code generation
  • Build and fine-tune convolutional neural networks

Who This Book Is For

This book is ideal for software developers and data scientists looking to leverage AI for web development and machine learning. It's perfect for those with a basic understanding of programming who want to explore AI's practical applications.

What You Need to Know First

Familiarity with programming languages and basic machine learning concepts is recommended to fully benefit from this book. Understanding of development environments will be helpful.

Why This Book

This book stands out by offering real-world case studies and practical examples of AI-enhanced applications in web and ML programming. It provides actionable insights into using AI tools effectively.

What's Inside

This 765-page eBook, authored by Dr. Muralidhar Kurni, Ramesh Krishnamaneni, and Dr. Srinivasa K. G., and published by BPB Publications, includes comprehensive chapters on AI tool integration, case studies, and performance optimization techniques.

What you get

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