Data mining is the process of extracting valuable insights and patterns from large datasets. It involves using statistical and machine learning techniques to identify hidden relationships and trends that can be used to inform business decisions.
Scientific computing is a discipline that involves developing and using algorithms to solve complex mathematical problems in science, engineering, and other fields. It involves the use of high-performance computing systems, numerical methods, and mathematical modeling techniques to simulate and analyze complex systems and phenomena.
Analytics is the process of discovering and interpreting data patterns, trends, and insights to enhance decision-making and optimize business performance. This involves the use of statistical and quantitative methods, as well as data visualization tools and technologies.
Descriptive Statistics of Failed Banks
Cardiovascular Health Risk Model
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