A Brief Introduction to Machine Learning

A Brief Introduction to Machine Learning

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.

A Brief Introduction to Machine Learning | Machine Learning Infographics

Frequently asked questions

What is Machine Learning?

Machine Learning is a field of study under Artificial intelligence that gives computers the ability to learn without being explicitly programmed.

What are the Algorithm types of Machine Learning?

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.

What are the steps to perform a Machine Learning task?

Collecting the data
Preparing the data
Training a model
Evaluating the model
Improving the performance

What are the Applications of Machine Learning?

Advertising & Business Intelligence
Autonomous (Self Driving) Vehicles
Facial Recognition
Surveillance System
Optical Character Recognition
Filtering Algorithms/News Feeds
Recommendation Engines (eg: Amazon)

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