what is Machine Learning

Any study of Machine Learning should begin with a formal definition of what is meant by Learning. A definition due to Simon (1983) is one of the best:

“Learning denotes changes in the system that are adaptive in the sense that they enable the system to do the same task (or tasks drawn from a population of similar tasks) more effectively the next time.”

We can easily extend this definition easily to our AI systems: “Machine learning denotes automated changes in an AI system that are adaptive in the sense that they enable the system to do the same task (or tasks drawn from a population of similar tasks) more effectively the next time.” The details of Machine Learning depend on the underlying knowledge representations,e.g. learning in neural networks will be very different to learning in rule based systems

In my next post i will tell you about the types of ML and its need in data mining . its very interesting Research area now a days for research scholar