NLP – Natural Language Processing, Can’t rule out a very common saying i.e. “Garbage in, garbage out.” Every machine learning model needs quality data, correct, suitable & powering algorithm and good computing power, but what gets in actually into these algorithms for training sadly remains far from reality. […]
Convolutional Neural Networks – CNN a neural network with some convolutional and other layers. The convolutional layer has a number of filters that do a convolutional operation. In other words, CNN’s are a class of Neural Networks that have proven very effective in areas of image recognition processing, […]
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.