Data and Algorithms Articles
How observations become profiles, predictions, recommendations, and automated decisions.
Latest Data and Algorithms Articles
9 articles in this category.
Confidence Is Different from Accuracy
A system can produce a confident output that is incorrect. Confidence values require interpretation and evaluation.
Why Old Data Can Affect New Decisions
Historical information can continue to influence profiles or models. Deleting a visible record may not reverse every downstream effect.
Why Data Quality Depends on Context
Accuracy, completeness, timeliness, and relevance affect whether data is useful for a particular question.
Recognizing Errors in Automated Inferences
An inferred category can be wrong even when the underlying observations are recorded correctly.
How Similar Data Can Produce Different Profiles
Organizations choose different inputs, categories, and models. The same observation can support several interpretations.
How Recommendation Systems Learn from Activity
Recommendations can reflect clicks, viewing time, ratings, and behavior of similar users. Systems differ in their methods.
How Profiles Change over Time
Profiles can be updated as new activity arrives, but old information may continue to affect the result.
How Initial Data Shapes a New Account
Early activity and defaults can influence what a service shows before it knows much about a user.
Why an Algorithmic Prediction Is Not a Fact
A prediction estimates an outcome from patterns. It can be uncertain or wrong for an individual.