The past two decades have witnessed the emergence of Machine Learning as one of the mainstays of information technology. In ML, the computers ‘learn’ as it automatically identifies patterns in data, thus making accurate predictions. The critical thing in a machine learning process is to select the right algorithm suitable for various applications. The below infographic shows some basic things about machine learning.
Machine Learning is a field of study under Artificial intelligence that gives computers the ability to learn without being explicitly programmed.
Supervised Learning: The learner is required to learn the behavior of a function by referring to several input-output examples of the function.
Unsupervised Learning: Labelled examples are not available for reference to learn a function.
Reinforcement Learning: The learner is required to learn how to apply a function by taking the feedback from the real environment where the function result is displayed.
Collecting the data
Preparing the data
Training a model
Evaluating the model
Improving the performance
Advertising & Business Intelligence
Autonomous (Self Driving) Vehicles
Facial Recognition
Surveillance System
Optical Character Recognition
Filtering Algorithms/News Feeds
Recommendation Engines (eg: Amazon)
