🔰Natural Language Processing (NLP)
🔰Computer Vision
🔰AI Ethics
🔰AI In Robotics
🔰Search Algorithms
🔰Knowledge Representation and Reasoning (KRR)
🔰Explain-ability and Transparency in AI (XAI)
🔰Generative Artificial Intelligence (GenAI)
🔰Large Language Models (LLMs)
🔰AI and IT
🔰AI for Good
About Course
📍Where is Machine Learning used? Machine learning is in use by a wide range of applications, including email filtering, Social Media Personalization
📍Image Recognition, Speech Recognition, fraud detection, Text prediction, Product recommendation, medical diagnosis, Healthcare Personalization.
📍Traffic Prediction.
📍Neural networks are a type of machine learning algorithm that is inspired by the structure and function of the human brain. Neural networks can learn complex patterns from data.
📍Neural networks have been successfully used in areas such as natural language processing.
Deep Learning is a type of machine learning that uses neural networks with multiple layers.
📍Each layer consists of multiple nodes that can perform diverse tasks. This allows deep learning models to learn more complex patterns from data.
📍Deep learning has been used to achieve significant results in a wide range of tasks, including image recognition, speech recognition, and machine translation.
