By now, you must have become familiar with Reinforcement Learning along with buzz words such as environment, agent, policy, goal, and episode. We discussed this in detail in our previous blog, understanding it better with a simple
This is an introductory article about the statistical aspects of data science. In this article, I will give a general overview of data science problems and the statistical techniques required to solve them. Some of the terminologies
Facial Emotion Recognition is the process of identifying human emotions from faces. It is one of the most applied concepts of computer vision and artificial intelligence. Classroom video emotion recognition, in this context, is very important for
Reinforcement learning is an important type of Machine Learning where an agent learns how to behave in an environment by performing actions and seeing the results. It seeks to create intelligent agents that adapt to the environment
BERT stands for Bidirectional Encoder Representations from Transformer. It is a substantial addition to the league of various approaches dealing with finding a solution to understand the context in a natural language- the way humans perceive. The
Attention Mechanism in deep learning has led to major performance improvements both in NLP and computer vision. All sequence models now implement attention resulting in state-of-the-art architectures. Let’s try to understand the evolution of attention mechanism.
Named-entity recognition is a sub-branch of Information retrieval systems which automatically extracts names of people, locations, organisations etc. from the unstructured data. With the text data growing every second, NER systems help business do the most important