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How Smart Machines Think
by Sean Gerrish
Summary
In How Smart Machines Think, former Google engineer Sean Gerrish provides an accessible, non-technical breakdown of the core machine learning algorithms and technical breakthroughs driving modern artificial intelligence. By exploring iconic milestones—such as self-driving cars navigating the DARPA Grand Challenge, Netflix’s recommendation algorithm competition, IBM’s Jeopardy!-winning Watson, and DeepMind's game-playing agents like AlphaGo—Gerrish demystifies how neural networks and reinforcement learning enable machines to perceive, reason, and act in complex environments.
Through engaging storytelling focused on the researchers behind these developments, the book translates sophisticated concepts into simple terms, offering a clear guide to how everyday AI systems operate and why collaborative human engineering remains essential to their success.
BOOK
by Sean Gerrish
Summary
In How Smart Machines Think, former Google engineer Sean Gerrish provides an accessible, non-technical breakdown of the core machine learning algorithms and technical breakthroughs driving modern artificial intelligence. By exploring iconic milestones—such as self-driving cars navigating the DARPA Grand Challenge, Netflix’s recommendation algorithm competition, IBM’s Jeopardy!-winning Watson, and DeepMind's game-playing agents like AlphaGo—Gerrish demystifies how neural networks and reinforcement learning enable machines to perceive, reason, and act in complex environments.
Through engaging storytelling focused on the researchers behind these developments, the book translates sophisticated concepts into simple terms, offering a clear guide to how everyday AI systems operate and why collaborative human engineering remains essential to their success.
BOOK
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