Category
A category is a distinct class or label used to group or classify items, observations, or outcomes by type or shared meaning.
Pro ASP.NET Core 7, Tenth Edition
A product category is a classification assigned to products for organizing and filtering an online-store catalog.
- How it is used
- Organizes storefront browsing by filtering products, driving sidebar navigation, and scoping pagination.
- How deep it goes
- Works through controller filtering, navigation links, pagination tests, and related-object form handling; defers detailed view-component treatment.
- Examples
- Uses a soccer query-string URL, a Chess pagination failure, mocked repository tests, and a product form that creates a category.
- What you can do after
- Build it from scratch: filter and navigate a paginated catalog by category, then add category creation to a product form.
Read how Pro ASP.NET Core 7, Tenth Edition explains category →
WordPress Power Toolkit: Harness AI to build next-level websites
A WordPress category is a taxonomy label that groups blog posts and lets visitors view posts assigned to that label.
- How it is used
- Organizes blog posts into clickable topic groups that let visitors browse a filtered subset of messages.
- How deep it goes
- Explains category purpose, hierarchy, creation, assignment, and visitor behavior without covering advanced customization.
- Examples
- Uses a travel blog with Cruise, Flight, and Car categories plus geographic subcategories and city tags.
- What you can do after
- Operate/configure WordPress categories, assign them to posts, and create a clickable browsing structure for visitors.
Read how WordPress Power Toolkit: Harness AI to build next-level websites explains category →
Deep Learning with R, Third Edition
A class is a discrete category assigned to an example in a classification problem.
- How it is used
- Uses classes to frame categorical classification tasks and convert model probability outputs into discrete predictions.
- How deep it goes
- Defines classes, labels, and predicted classes, then demonstrates probability inspection and maximum-selection without covering classifier internals.
- Examples
- Demonstrates handwritten-digit classes in MNIST and topic classes in newswire classification.
- What you can do after
- Apply Keras predictions by reading class probabilities and selecting the highest-probability class.
Read how Deep Learning with R, Third Edition explains category →
Related concepts
- ontologypart of · An ontology is a formal representation of concepts or entities in a domain and the relationships, properties, and constraints that define them.
- classifierproduced by · A classifier is a predictive computational model that assigns inputs to one or more discrete classes or categories.
- data modelkind of · A data model is a structured representation of data that defines its entities, attributes, relationships, and applicable constraints.
- recordmeasures · A record is a structured data unit or type that groups related values into fields or properties, typically to represent one item, entity, or observation.
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