Artificial intelligence (AI) is a multidisciplinary area that includes many different disciplines that all contribute to the creation and use of intelligent systems. Within the larger subject of AI, the following are some important disciplines:

Data Science: Data science is essential to the development of AI, even if it is not exclusive to AI. It entails using statistical techniques, machine learning, and data analysis to draw conclusions from both organized and unstructured data and to guide decision-making.

Machine Learning: The goal of machine learning (ML) is to develop algorithms that let computers learn from data and gradually get better at what they do without the need for explicit programming. Reinforcement learning, supervised learning, and unsupervised learning are all included.

Natural Language Processing (NLP): NLP is the study of how human language and computers interact. It allows robots to understand and produce writing that is similar to that of humans by tackling tasks like sentiment analysis, language production, and language interpretation.

Computer Vision: The field of computer vision focuses on making it possible for machines to perceive, analyse, and comprehend visual data from their environment. It encompasses activities including object detection, facial identification, and picture recognition, enabling