First Principles
A problem-solving approach that involves breaking down complex problems into their most basic, foundational elements.
A problem-solving approach that involves breaking down complex problems into their most basic, foundational elements.
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation.
A form of regression analysis where the relationship between the independent variable and the dependent variable is modeled as an nth degree polynomial.
Information Visualization (InfoVis) is the study and practice of visual representations of abstract data to reinforce human cognition.
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables.
The systematic computational analysis of data or statistics to understand and improve business performance.
The process of using statistical analysis and modeling to explore and interpret business data to make informed decisions.
The use of data, algorithms, and machine learning to recommend actions that can achieve desired outcomes.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.