Machine Learning is making the computer learn from studying data and statistics. Machine Learning is a step into the direction of artificial intelligence (AI). Machine Learning is a program that analyses data and learns to predict the outcome.

Definition of Machine Learning: Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task.[1][2]:2 Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop a conventional algorithm for effectively performing the task.According to Wiki

Type of Machine Learning:

• Types of learning algorithms
  1. Supervised learning
  2. Unsupervised learning
  3. Reinforcement learning
  4. Self learning
  5. Feature learning
  6. Sparse dictionary learning
  7. Anomaly detection
  8. Association rules Applications of Machine Learning There are many applications for machine learning, including:

1. Agriculture
2. Anatomy
3. Adaptive websites
4. Affective computing
5. Banking
6. Bioinformatics
7. Brain–machine interfaces
8. Cheminformatics
9. Citizen science
10. Computer networks