Instead, algorithms are able to function freely in order to learn more about the data and present interesting findings. There are no correct output values like supervised learning. Here, an algorithm is only given input data, without corresponding output values, as a training set.

Unsupervised learning is very much opposite of the supervised learning. test data so that supervised learning algorithm analyses the training data and produces a correct outcome from labelled data. After that, the machine is provided with a new set of data i.e. That means the input data is already tagged with the correct answer. Supervised learning is a learning in which we teach or train the machine using data which is well labelled and expects the output results. “The only relevant test of the validity of hypothesis is comparison of prediction with experience” – Milton Friedman The way we humans learn from our past experiences.

It is an art and science of giving computers an ability to learn and make decisions from the given data without being explicitly programmed. Machine learning is a subset of Artificial Intelligence when combined with Data Mining techniques plays a promising role in the field of prediction. Healthcare organizations are leveraging machine learning techniques, to improve delivery of care at reduced cost. Using it in the field of medical science can prove to be very beneficial in the improvement of healthcare. Machine learning can be used in almost every field nowadays. “The field of study that gives computers the ability to learn without being explicitly programmed.” – Arthur Samuel (Defined machine learning in 1959)

Mathematica for machine learning