What is Machine Learning

Machine learning is a growing technology which enables computers to learn automatically from past data. Machine learning uses various algorithms for building mathematical models and making predictions using historical data or information. Currently, it is being used for various tasks such as image recognition, speech recognition, email filtering, Facebook auto-tagging, recommender system, and many more..

Machine Learning is said as a subset of artificial intelligence that is mainly concerned with the development of algorithms which allow a computer to learn from the data and past experiences on their own. Machine learning enables a machine to automatically learn from data, improve performance from experiences, and predict things without being explicitly programmed

A Machine Learning system learns from historical data, builds the prediction models,and whenever it receives new data, predicts the output for it.

Types Of Machine Learning

• Supervised Machine Learning:- Machines trained on “Labelled Dataset”. Ex- Automatic driving car learned driving based on labelled images, Spam detection.

• Unsupervised Machine Learning:- Machines trained on the unsorted dataset according to the similarities, patterns, and differences.Ex- Recommendation Systems.

• Reinforcement Learning:- Reinforcement learning works on a feedback-based process, in which an AI agent (A software component) automatically explore its surrounding by hitting & trail, taking action, learning from experiences, and improving its performance. Ex- Video Games.

Difference between Artificial intelligence and Machine learning

AI is a bigger concept to create intelligent machines that can simulate human thinking capability and behavior, whereas, machine learning is an application or subset of AI that allows machines to learn from data without being programmed explicitly.