Reinforcement Learning is an area of machine learning which teaches us to take actions to maximize rewards in a particular situation. Reinforcement learning is used in a various of fields, starting from Automobile to Medicine and many others. In Reinforcement Learning, the agent is not aware of the different states, the actions available in all…Read more
Reinforcement Learning
Reinforcement Learning
Reinforcement learning is a field of Machine Learning where software agents in order to solve a particular problem takes action in an uncertain and potentially complex environment. Through these actions, the software agent learns to achieve a goal. Reinforcement Learning is one of the 3 machine learning paradigms alongside supervised and unsupervised learning. The main…Read more
Introduction to Machine Learning
This blog will be more theoretical introduction towards what is Machine Learning and its different paradigms. So, let’s take a typical definition of Machine Learning and then break it down to understand what it means: “A machine or agent is said to learn from experience with respect to some class of tasks, and a performance…Read more