4. Introduction to Supervised, Unsupervised and Reinforcement Learning ü The amount of data generated in the world today is very huge. This data is generated not only by humans but also by smartphones, computers and other devices. Based on the kind of data available and a motive present, certainly, a programmer will choose how to train an algorithm using a specific learning model. · Machine Learning is a part of Computer Science where the efficiency of a system improves itself by repeatedly performing the tasks by using data instead of explicitly programmed by programmers. Further let us understand the difference between three techniques of Machine Learning- Supervised, Unsupervised and Reinforcement Learning. How Machine Learning Works? Types of Learning Algorithms i. Supervised learning ii. Unsupervised learning iii. Reinforcement learning Supervised Learning · In Supervised learning, an AI
