AI for Beginners

I started listening to AI for Beginners while folding laundry, expecting the usual dry academic drone that usually accompanies anything labeled “computer science.” Instead, Jack Nolan’s narration hit me with the conversational punch of a favorite podcast host dropping knowledge between jokes. Edmond’s writing is the rare tech book that actually trusts its audience; he never talks down to you, yet never assumes you’re already fluent in Python. My biggest critique? The chapter on neural networks leaves you wanting just a bit more meat—think of it as a tantalizing trailer rather than the full feature. The deep-dive on bias in algorithms, though, is worth the price alone: Edmond walks you through real court cases where AI fumbled the call, making abstract concepts feel urgent. Nolan nails the rhythm, pausing exactly where Edmond’s humor lands and accelerating through the denser passages so the listen never drags. The only skip-worthy moment is the perfunctory “future of AI” outro that feels tacked on compared with the razor-edge insights earlier. Still, after four hours you’ll close the app with a list of things you want to Google tomorrow—and isn’t that the whole point of learning?