Why Machines Learn
“Through Two Doors at Once offers beginners the tools they need to seriously engage with the philosophical questions that likely drew them to quantum mechanics.”
—Science (full review here)
Publishing details
Pub Date Jul 16, 2024, Dutton (Penguin Random House).
Please publishing issues, contact: Grace Layer, Associate Editor, glayer@penguinrandomhouse.com
For publicity: Emily Canders, Asst. Director of Publicity, Dutton (Penguin Random House), ecanders@penguinrandomhouse.com
overview
Why Machines Learn explains the mathematical underpinnings of modern AI, from Rosenblatt’s perceptrons (1958) to today’s deep neural networks, with pitstops along the way to understand the seminal algorithms that have made machine learning the force it is today.
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