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How We Learn: Why Brains Learn Better Than Any Machine . . . for Now

How We Learn: Why Brains Learn Better Than Any Machine . . . for Now

15,95 €
Einband: Taschenbuch
Seitenzahl: 352 Seiten
Erscheinungsdatum: 01.01.1970
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Beschreibung

How We Learn: Why Brains Learn Better Than Any Machine . . . for Now

How We Learn: Why Brains Learn Better Than Any Machine . . . for Now von Dehaene, Stanislas im Online-Buchhandel:

How We Learn: Why Brains Learn Better Than Any Machine . . . for Now
How We Learn: Why Brains Learn Better Than Any Machine . . . for Now
von Dehaene, Stanislas
15,95 €
gefunden bei Amazon Marketplace
How We Learn: Why Brains Learn Better Than Any Machine . . . for Now
How We Learn: Why Brains Learn Better Than Any Machine . . . for Now
Einband: Taschenbuch, Seitenzahl: 352 Seiten
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Amazon Marketplace
How We Learn von Penguin Random House Sea
How We Learn
19,99 €
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An illuminating dive into the latest science on our brain's remarkable learning abilities and the potential...
An illuminating dive into the latest science on our brain's remarkable learning abilities and the potential of the machines we program to imitate them The human brain is an extraordinary machine. Its ability to process information and adapt to circumstances by reprogramming itself is unparalleled and it remains the best source of inspiration for recent developments in artificial intelligence. In How We Learn, Stanislas Dehaene decodes the brain's biological mechanisms, delving into the neuronal, synaptic, and molecular processes taking place. He explains why youth is such a sensitive period, during which brain plasticity is maximal, but assures us that our abilities continue into adulthood and that we can enhance our learning and memory at any age. We can all learn to learn by taking maximal advantage of the four pillars of the brain's learning algorithm: attention, active engagement, error feedback, and consolidation. The exciting advancements in artificial intelligence of the last twenty years reveal just as much about our remarkable abilities as they do about the potential of machines. How We Learn finds the boundary of computer science, neurobiology, and cognitive psychology to explain how learning really works and how to make the best use of the brain's learning algorithms, in our schools and universities, as well as in everyday life.
Verlag: Penguin Random House Sea
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