Learning Machines: Foundations of Trainable Pattern Classifying Systems Nilsson

Learning Machines: Foundations of Trainable Pattern Classifying Systems Nilsson

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Learning Machines: Foundations of Trainable Pattern Classifying Systems by Nils Nilsson

In this groundbreaking book, Nils Nilsson explores the foundations of trainable pattern classifying systems, also known as learning machines. Nilsson delves into the principles and algorithms that underlie these systems, providing a comprehensive overview of the field.

From neural networks to decision trees, Nilsson covers a wide range of topics related to pattern classification and machine learning. He discusses the importance of data representation, feature selection, and model evaluation in designing effective learning systems.

Whether you’re a student, researcher, or practitioner in the field of machine learning, this book is a must-read. Nilsson’s clear and concise writing style makes complex concepts accessible to readers of all backgrounds.

If you’re looking to deepen your understanding of trainable pattern classifying systems, pick up a copy of Learning Machines: Foundations of Trainable Pattern Classifying Systems today. You won’t be disappointed.
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