Machine Learning (ML) – It is the hottest subject of today’s time. DataScientist is the sexiest job of today but the implementation of these buzz words in real business is missing big time. The real need is to clarify, demonstrate, extract real values and reap rewards. “Machine Learning” sounds […]
Reinforcement Learning (RL) – A more general form of machine learning than supervised learning or unsupervised learning. It learns from interaction with the environment to achieve a goal or simply learns from reward (positive adjustment) and punishments (negative adjustment). This learning is inspired by behaviourism phycology. Point to note here is, there is nothing […]
Astonishing Hierarchy of Machine Learning Needs – Artificial intelligence and machine learning are used interchangeably often but for they are not the same. Machine learning is one of the most active areas and a way to achieve AI. Why ML is so good today; for this, there are a couple of […]
Reinforcement learning can be understood by using the concepts of agents, environments, states, actions and rewards. This is an area of machine learning; where there’s no answer key, but RL agent still has to decide how to act to perform its task. The agent is inspired by behaviourist psychology who decide how and what actions will taken in an environment to maximize some notion of cumulative reward.