Machine Learning

Machine Learning is an application of Artificial Intelligence that provide systems the ability to automatically learn and improve themselves without external programmed.Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
The best example of Machine Learning can be Self Driving cars,Speech Recognition etc.Self Driving cars are the driverless car.It will be drive automatically.There are many Companies are doing testing on it like Google,Uber etc.

Machine Learning algorithm can be classified into two parts Supervised Machine Learning and UnSupervised Machine Learning.

Supervised Machine Learning

Supervised machine learning algorithms can apply what has been learned in the past to new data using labeled examples to predict future events. Starting from the analysis of a known training dataset, the learning algorithm produces an inferred function to make predictions about the output values. The system is able to provide targets for any new input after sufficient training. The learning algorithm can also compare its output with the correct, intended output and find errors in order to modify the model accordingly.

UnSupervised Machine Learning

unsupervised machine learning algorithms are used when the information used to train is neither classified nor labeled. Unsupervised learning studies how systems can infer a function to describe a hidden structure from unlabeled data. The system doesn’t figure out the right output, but it explores the data and can draw inferences from datasets to describe hidden structures from unlabeled data.