Machine Learning from Verbal User Instruction

Machine Learning from Verbal User Instruction

Explore machine learning from verbal user instruction in this lecture by Tom Mitchell from Carnegie Mellon University. Delve into the future of machine learning, focusing on sensor-effector system learning through human instruction. Examine the potential of learning within the sensor-effector closure of smartphones and discover the philosophy behind learning by instruction. Investigate natural language approaches, including CCG parsing, and learn how semantics for commands like "Tell" are derived. Analyze the teaching of conditionals and their impact on machine learning systems. Consider the implications of every user becoming a programmer and discuss the theoretical foundations needed for this emerging field of interactive learning.