Artificial intelligence is transforming the way we build software, analyze data, and solve problems. Whether you're exploring neural networks, machine learning, or generative AI, our books break down complex concepts into approachable, practical guides. Learn how to build and train models with Python, apply AI tools to engineering and scientific challenges, or implement cutting-edge techniques like retrieval-augmented generation. With hands-on examples and expert insight, these books will help you confidently apply AI in real-world contexts.
Generative AI is transforming software development. Stay on the cutting edge with this guide to AI pair programming! Learn how to make the most of modern tools like ChatGPT and GitHub Copilot to improve your coding. Automate refactoring, debugging, and
… More about the book
Your guide to generative AI with Python is here! Start with an introduction to generative AI, NLP models, LLMs, and LMMs—and then dive into pretrained models with Hugging Face. Work with LLMs using Python with the help of tools like
… More about the book
Neural networks are at the heart of AI—so ensure you’re on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you’ll need to understand and create neural networks. Or jump
… More about the book
It’s time to get practical about AI. Move past playing around with chatbots and plugging your data into others’ applications—learn how to create your own! Walk through key AI methods like decision trees, convolutional layers, cluster analysis, and more. Get
… More about the book