The Hundred-Page Machine Learning Book

The Hundred-Page Machine Learning Book is a condensed guide that introduces the core concepts of machine learning, which is a way computers learn from data to make decisions or predictions. It covers fundamental topics like algorithms, models, and how machines improve performance with experience. Designed for clarity, it helps readers understand how machines analyze patterns, avoid errors, and adapt to new information—laying a solid foundation for further study or practical application in fields like data science, AI, and automation. It's a compact resource for gaining a clear overview of machine learning principles.