Machine learning
by Ethem Alpaydin
Alpaydin's accessible primer on machine learning as 'the new AI' — algorithms that learn from data to power voice recognition and driverless cars.
"Machine learning is the basis of the new approach in computing where we do not write programs but collect data to learn algorithms automatically".
Editorial Summary
Özyegin University professor Ethem Alpaydin offers a concise overview of machine learning for the general reader in this MIT Press Essential Knowledge series volume. The book positions machine learning as the basis of a new approach in computing where we do not write programs but collect data, learning algorithms for tasks automatically from data. Alpaydin describes the basics of machine learning and applications including pattern recognition, artificial neural networks inspired by the human brain, algorithms for customer segmentation and recommendations, and reinforcement learning where autonomous agents maximize reward and minimize penalty. The author then considers future directions for machine learning and data science, discussing ethical and legal implications for data privacy and security. This accessible introduction covers applications from recommendation systems and face recognition to driverless cars, explaining how machine learning underlies technologies we use daily.
Perspective
"Essential reading for anyone seeking to understand the machine learning revolution that powers ChatGPT, recommendation algorithms, and autonomous systems without getting lost in mathematical complexity. Business leaders, policymakers, and curious technologists will find Alpaydin's clear explanations invaluable as they navigate decisions about artificial intelligence integration and regulation in the age of large language models."
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