Supervised Machine Learning

It is one of the types of Machine Learning (ML). In Supervised learning output supervised the input. It is used for approximating the input/output behavior of complex systems. The task of the supervised learner is to predict the output behavior of a system for any set of input values, after an initial training phase.

Supervised learning generates a function that maps inputs to desired outputs (also called labels, because they are often provided by human experts labeling the training examples)

Definition of basics used:

The training set: It is the data that the classifier uses to learn how to classify the data.

Validation Set: It is used to feed the already trained model in order to get an error rate that can help us identify the classifier’s performance and accuracy

Cross-validation: Cross-validation is one of several approaches to estimating how well the model you've just learned from some training data is going to perform on future as-yet-unseen data.

Steps of Supervised Learning:

Step 1: Prepare training data

Step 2: Create a training set and a validation set

Step 3: Train the model

Step 4: Cross-validation

Step 5: Validate the model’s performance

Now it’s ready.

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