Interpretable Models

Random Picks

• Iterative Design Process: Iterative Design Process is a cyclical approach to designing a product or service that involves repeating the design process multiple times, making improvements and refinements with each iteration. This process is often used in Data Science ... Read More >>
• Bias And Discrimination: Bias and discrimination refer to the unfair treatment of individuals or groups based on certain characteristics such as race, gender, age, or religion. In the context of data science and artificial intelligence, bias and discrimination can ... Read More >>
• T-value: T-value is a statistical measure that represents the difference between the mean values of two groups, divided by the standard error of the difference between the means. In data science, T-value is commonly used in hypothesis testing to det ... Read More >>