What is Machine Learning?
Machine Learning is a branch of artificial intelligence (AI) that focuses on the development of computer programs that can teach to grow and change exposed to new data. It is concerned with the design and development of algorithms that can take complex input data and can make an intelligent decision based on the input data.
Types of Machine Learning:
1. Supervised Learning :
This type of machine learning is concerned with associating some undefined data document to some predefined label of the training data in order to predict the value of any valid input. Common examples of supervised learning include classifying e-mail message as spam. Mainly all classification algorithms. Example Mahout.
2.Unsupervised Learning :
Unsupervised learning type of machine learning is concerned with making sense out of complex hard to understand data by creating some similarity or some interesting patterns. No labels are associated with it. Mainly all clustering algorithms in mahout for example.
3.Semi-Supervised Learning :
Semi-supervised learning is concerned with defining an undefined data document in the presence of both labeled and unlabeled data. It is a combination of supervised and unsupervised learning. The main aim of semi-supervised learning is to demonstrate how combining both labeled and unlabeled data can change learning behavior.