Data Visualization Data visualization is the process of creating graphical representations of data in order to better understand, analyze, and communicate the insights and patterns that are present in the data. It involves using visual elements, such as charts, graphs, and maps, to represent data in a way that is easy to understand and interpret. Overall, data visualization is an important tool for data analysis and communication, and it is widely used in a variety of fields and applications, including business, science, and government.
- Machine learning and artificial intelligence (AI) are related, but distinct, fields of study and technology. - Artificial intelligence, on the other hand, is a broader field that encompasses machine learning as well as other approaches to building intelligent systems. - In summary, machine learning is a specific approach to building AI systems that involves training algorithms on data, while AI is a broader field that includes machine learning as well as other approaches to building intelligent systems