Why Machines Learn: The Elegant Math Behind Modern AI
Price: $32.00 - $21.99
(as of Nov 21,2024 17:18:08 UTC – Details)
Publisher : Dutton (July 16, 2024)
Language : English
Hardcover : 480 pages
ISBN-10 : 0593185749
ISBN-13 : 978-0593185742
Item Weight : 2.31 pounds
Dimensions : 6.2 x 1.4 x 9.3 inches
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Customers find the book fantastic, informative, and enriching. They say it’s worthwhile, a good effort, and provides an overview of current AI models and algorithms. Readers also appreciate the compelling storytelling and personal writing style.
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Artificial Intelligence (AI) has become an integral part of our daily lives, from personalized recommendations on streaming services to autonomous vehicles navigating our roads. But have you ever wondered why machines are able to learn and make decisions like humans?
The answer lies in the elegant math behind modern AI. At the core of AI algorithms is the concept of machine learning, which allows machines to improve their performance on a task through experience. This is achieved through the use of mathematical models that can generalize patterns from data and make predictions or decisions based on those patterns.
One of the key mathematical frameworks used in machine learning is statistical inference. This involves using probability theory to estimate the relationships between variables in a dataset and make predictions about future data points. By analyzing the patterns and relationships in data, machines can learn to recognize trends and make informed decisions.
Another important mathematical concept in AI is optimization theory, which involves finding the best solution to a problem given certain constraints. This is crucial in training AI models, as machines need to adjust their parameters to minimize errors and improve performance on a task. Optimization algorithms such as gradient descent are used to iteratively update the parameters of a model to minimize a loss function, leading to better predictions and decisions.
Overall, the elegant math behind modern AI enables machines to learn from data, adapt to new information, and make intelligent decisions. By understanding the mathematical principles that underlie AI algorithms, we can appreciate the complexity and power of these systems that are transforming the way we live and work.
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