Discover how AI is reshaping business – from automation and data-driven decision-making to customer experience and innovation. These books make complex AI concepts accessible to non-technical readers.
Living and Working with AI Ethan Mollick’s Co-Intelligence is part wake-up call, part how-to manual, and part pep talk for a species standing on the edge of a technological revolution. You may know Mollick as the sharp-witted Wharton professor behind the viral One Useful Thing Substack, but here he goes bigger, pairing academic insight with […]
If you’ve ever wanted to understand how machines can recognize faces, caption cat videos, or beat humans at board games without being hand-coded for each task, Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville is your go-to guide. Elon Musk called it “the only comprehensive book on the subject,” which, depending on your […]
A Modern Approach, Global Edition Ah, Artificial Intelligence: A Modern Approach, the towering textbook that’s been both the bane and the bible of AI students for decades, is back and smarter than ever. This long-awaited update to the classic by Russell and Norvig isn’t just a gentle refresh. It’s a full-scale overhaul designed for the […]
Building Applications with Foundation Models AI used to be that elusive genius in the back of the tech conference, muttering about tensors while sipping lukewarm coffee. Not anymore. Thanks to recent breakthroughs and the rise of model-as-a-service, AI has put on a blazer, learned to network, and gone mainstream. These days, even your cousin with […]
Exercises to Enhance your LLM Learning Training a Large Language Model from scratch might sound like something that requires multiple PhDs, a rack of GPUs, and a whiteboard full of equations. But with Sebastian Raschka’s acclaimed book and this Test Yourself companion guide, you’ll move beyond theory and start building real understanding, one challenge at […]