Deep learning is a learning scheme that approaches the learning problem by learning the underlying representations; too much of learning. I thats why its also called as representation learning.
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.
Year 2018 will be known as year of Artificial Intelligence and Intelligence Augmentation for sure.We used to think artificial intelligence was a silly sci-fi concept but when you really look into it, it seems like its been slowly encroaching into most areas of everyday life! AI would become just a computer inside the robot or another software or a brain siting out of human body.
This was the first serious proposal in the philosophy of artificial intelligence, which can be explained as: a science developing technology to mimic humans to respond in a circumstance. In simple words AI involves machines that behave and think like humans i.e Algorithmic Thinking in general. Computers start simulating the brain’s sensation, action, interaction, perception and cognition abilities.
This is where fintech companies are successfully leveraging AI. FinTech companies with help of AI are finding cheap, easy and swift methods to apply the technology to an existing business problem at the same time many banks are failing to do so.