Linear Regression
A statistical method that models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.
A statistical method that models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.
A design philosophy that emphasizes core design principles over rigid adherence to standardized processes.
Product-Oriented Delivery (POD) is a methodology that focuses on organizing teams around products rather than projects.
A statistical rule stating that nearly all values in a normal distribution (99.7%) lie within three standard deviations (sigma) of the mean.
A series of numbers where each number is the sum of the two preceding ones, creating a pattern found in nature and various fields.
Adaptive Software Development (ASD) is a software development methodology that focuses on continuous adaptation to changing requirements and environments.
The process of integrating knowledge into computer systems to solve complex problems, often used in AI development.
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
Build-Measure-Learn (BML) is a feedback loop used in Lean Startup methodology where a product is built, its performance is measured, and learnings are used to make improvements.