Artificial Intelligence for Excel

I’ll admit, I side-eyed the idea of listening to a 10-hour audiobook about *Excel and AI*. But Singh’s approach won me over by the second chapter. This isn’t a survey course—it’s a workshop. He doesn’t just explain how to plug a pre-trained model into a spreadsheet; he forces you to grapple with the *why* behind the architecture, from feature scaling in logistic regression to the limitations of Excel’s Solver for gradient descent. The pacing is relentless, but that’s the point: Singh respects your time and assumes you’re here to *work*, not daydream. The Virtual Voice narration is… polarizing. On one hand, its monotone delivery makes complex concepts easier to parse—no dramatic pauses or misplaced emphasis to distract you. On the other, it turns already-dense sections (like the chapter on Bayesian networks) into a slog if you’re not actively following along with the code samples. My biggest critique? The audiobook format struggles with the book’s heavy reliance on visual aids (equations, spreadsheet screenshots). You’ll need the PDF companion to avoid frustration, which feels like a missed opportunity for an audio adaptation. Still, for the right listener—someone who treats Excel like a programming environment and wants to push it into AI territory—this is the rare tech book that justifies its runtime.