Machine Learning

This comprehensive textbook introduces readers to machine learning and how it can be used to automatically detect patterns in data and predict future data. The author uses a unified, probabilistic approach and covers important background topics such as probability, optimization, and linear algebra. Recent developments in the field are discussed, and the book is filled with color images and examples from biology, text processing, computer vision, and robotics. The book stresses a model-based approach and includes pseudo-code for important algorithms. Suitable for upper-level undergraduates and beginning graduate students.