Why Machines Learn
"Why Machines Learn" by Anil Ananthaswamy explores the mathematical foundations that power modern artificial intelligence, tracing the evolution of machine learning from early perceptrons to today’s deep neural networks. The book makes complex concepts like linear algebra, probability, and optimization accessible, illustrating how these ideas underpin breakthroughs in AI and highlighting both the capabilities and limitations of current technologies. Ananthaswamy also addresses the ethical challenges and mysteries that remain as machine learning systems become increasingly influential in society.
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