TYPES OF MACHINE LEARNING

                                                  Types of Machine Learning :-

Supervised learning :- 

• Makes machine learn explicitly
• Data with clearly defined output is given
• Predicts outcome or future.
•                     Training
• Inputs ----->System------->Outputs

Application :- 

• Risk Evaluation
• Fraud Detection
• Prediction of Financial results

Unsupervised Learning :-

• Machine understands the data.
• Evaluation is qualitative or indirect.
• Does not predict/find anything specific.
• Inputs ----->System------->Outputs

Applications :- 

• Item categorization
• Clustering Customers.
• Similar item recommendation.

Reinforcement Learning :- 

• An approach to Artificial Intelligence
• It is an reward based learning
• Machine learns how to act in a certain environment.
•                                                                                  Rewards<----------|
• Inputs-------------->System-------------->Outputs--------------------------|

Applications :- 

• Robotics
• Playing Games
• Self-driving cars