Price: $4.99
(as of Dec 24,2024 16:37:17 UTC – Details)

ASIN ‏ : ‎ B0CW3PY4BQ
Publisher ‏ : ‎ Memory Transplant; 1st edition (May 20, 2024)
Publication date ‏ : ‎ May 20, 2024
Language ‏ : ‎ English
File size ‏ : ‎ 132 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Enabled
Print length ‏ : ‎ 64 pages

In the third installment of the “Brain and AI” book series, neuroscientist Dr. Emily Smith delves into the fascinating world of supervised learning and how both the human brain and artificial intelligence systems utilize this method to acquire knowledge.

Supervised learning is a type of machine learning where an algorithm is trained on a labeled dataset, with the goal of predicting the correct output for new, unseen data. Dr. Smith explains how this process mirrors the way the human brain learns, as we are constantly exposed to new information and feedback from our environment that helps us make sense of the world around us.

Through a series of case studies and experiments, Dr. Smith demonstrates how the brain and AI systems can adapt and improve their predictive abilities through supervised learning. She explores the role of feedback, reinforcement, and error correction in shaping our understanding of the world, and how these mechanisms are essential for both biological and artificial intelligence systems to learn and grow.

Whether you’re a neuroscience enthusiast, a student of AI, or simply curious about how the brain and AI intersect, “Brain and AI: Supervised Learning” is a must-read for anyone interested in the cutting-edge research and discoveries in these fields. Dive into the fascinating world of supervised learning with Dr. Smith and uncover the secrets of how our brains and AI systems learn and evolve.
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