Reinforcement Learning is a type of machine learning that focuses on developing algorithms in which agents interact with an environment and learn to make decisions based on trial and error experiences. The goal is to learn to choose actions that maximize rewards. To make the concept clearer, let’s use Pitfall (an Atari classic). The objective

Have you ever noticed that when you watch something on Netflix it acts like a friend who knows your tastes and always recommends you cool movies? Or when you do a Google search, are the first results almost always what you were looking for? Or even that Siri or Alexa can understand you and help

Artificial intelligence is an umbrella term that encompasses a wide variety of subfields that share the goal of enabling machines to perform tasks that require the use of human intelligence. One of these subfields is machine learning. Machine learning is the science that allows computers to be programmed so that they can learn from data.