Pattern Recognition and Machine Learning (Bishop)

"Pattern Recognition and Machine Learning" by Bishop explores how computers can identify, classify, and make decisions based on data. It covers techniques for teaching machines to recognize patterns—like images, texts, or sounds—by learning from examples. The book explains statistical models, algorithms, and ways to improve accuracy, addressing uncertainty and variability in data. Essentially, it provides a mathematical foundation for enabling computers to learn from experience, adapt, and perform tasks that traditionally required human intelligence, such as speech recognition, object detection, or spam filtering.