Pattern Recognition and Machine Learning (Information Science and Statistics) ISBN: 978-0387310732

Pattern Recognition and Machine Learning is a comprehensive guide to machine learning techniques grounded in probability theory and statistics. This foundational text covers supervised and unsupervised learning, graphical models, and approximate inference methods—essential topics for data scientists, researchers, and practitioners building intelligent systems. Ideal for academic institutions, training centers, and corporate teams developing machine learning capabilities. The rigorous mathematical framework and practical examples make it suitable for both individual study and classroom adoption. Available for bulk orders to support organizational learning initiatives. ISBN: 978-0387310732