Cross Validation
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 statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation.
An environment closer to production where final testing and validation occur.
A research technique that explores the context in which users interact with a product, service, or environment to understand their needs and behaviors.
A method of comparing two versions of a webpage or app to see which performs better in terms of user engagement or conversions.
User Acceptance Testing (UAT) is the final phase of the software testing process where actual users test the software to ensure it meets their requirements.
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance.
A heuristic where individuals evenly distribute resources across all options, regardless of their specific needs or potential.
A tool used during brainstorming sessions to prompt and inspire creative thinking, often containing questions, scenarios, or constraints.
A tree-like model of decisions and their possible consequences, used in data mining and machine learning for both classification and regression tasks.