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HomeBooks, Movies and MusicEducation & LearningStudy AidsWhy Machines Learn: The Elegant Math Behind Modern AI by Anil Ananthaswamy
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KSh 1,234
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"Why Machines Learn: The Elegant Math Behind Modern AI" by Anil Ananthaswamy is an insightful and in-depth exploration of the mathematical principles that make machine learning and artificial intelligence possible. The author combines technical clarity with historical context, drawing on disciplines such as mathematics, computer science, physics, and neuroscience to reveal how machines learn from data.
Key points include:
- Explanation of core concepts like gradient descent, energy minimization, and Hebbian learning, using intuitive analogies.
- How machine learning algorithms like neural networks and support vector machines work mathematically.
- The connection between artificial intelligence and biological learning processes.
- Discussion of emerging AI capabilities, including the rise of large language models such as ChatGPT, and their implications.
- The book also addresses the societal and ethical implications of AI and highlights the need to understand AI’s power and limitations.
Specifications
Key Features
Though some sections require a strong mathematical background, the book is praised for making complex ideas accessible and engaging, making it a must-read for those interested in the fundamental math behind AI and how it shapes the future.
What’s in the box
1 BOOK
Specifications
- SKU: BO086BM5NL9LINAFAMZ
- GTIN Barcode: 09780593185742
- Weight (kg): 1
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Books Why Machines Learn: The Elegant Math Behind Modern AI by Anil Ananthaswamy
KSh 1,234
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