Artificial Intelligence (AI) and data science are related fields, but they have distinct differences.
AI refers to the development of computer systems that can perform tasks that typically require human intelligence, such as understanding natural language, recognizing objects and images, making decisions, and learning from experience. This field encompasses a wide range of technologies, including machine learning, deep learning, natural language processing, and computer vision.
Data science, on the other hand, is a multidisciplinary field that involves using statistical and computational techniques to extract insights and knowledge from data. This field encompasses a wide range of techniques, including data mining, machine learning, statistical modeling, and data visualization.
In summary, AI is a subset of data science and focuses on the development of intelligent systems, while data science is a broader field that encompasses the use of data to extract insights and knowledge. Both fields are concerned with the use of data, but AI is more focused on creating systems that can perform tasks that typically require human intelligence, while data science is more focused on extracting insights and knowledge from data.