. At the time, the field was a niche sub-discipline of computer science. Mitchell provided what is now considered the "canonical" definition of machine learning: a computer program is said to learn from experience with respect to some class of tasks and performance measure , if its performance at tasks in , as measured by , improves with experience
While the full 1997 hardcover is a commercial publication from McGraw Hill, several legitimate academic excerpts and complete versions are hosted online for educational purposes.
In the modern AI landscape, GitHub has transformed how learners interact with this classic text. Instead of static reading, students use the platform to find:
