- Computational-representational understanding of mind - Wikipedia
Computational representational understanding of mind (CRUM) is a hypothesis in cognitive science which proposes that thinking is performed by computations operating on representations This hypothesis assumes that the mind has mental representations analogous to data structures and computational procedures analogous to algorithms, such that computer programs using algorithms applied to data
- Computational cognition - Wikipedia
Computational cognition (sometimes referred to as computational cognitive science or computational psychology or cognitive simulation) is the study of the computational basis of learning and inference by mathematical modeling, computer simulation, and behavioral experiments
- Cognitive computing - Wikipedia
Cognitive computing refers to technology platforms that, broadly speaking, are based on the scientific disciplines of artificial intelligence and signal processing
- Bayesian cognitive science - Wikipedia
Bayesian cognitive science, also known as computational cognitive science, is an approach to cognitive science concerned with the rational analysis [1] of cognition through the use of Bayesian inference and cognitive modeling
- Data science - Wikipedia
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods " to "understand and analyze actual phenomena " with data [5]
- Glossary of computer science - Wikipedia
This glossary of computer science is a list of definitions of terms and concepts used in computer science, its sub-disciplines, and related fields, including terms relevant to software, data science, and computer programming
- Concept drift - Wikipedia
Concept drift In predictive analytics, data science, machine learning and related fields, concept drift or drift is an evolution of data that invalidates the data model It happens when the statistical properties of the target variable, which the model is trying to predict, change over time in unforeseen ways
- Class (programming) - Wikipedia
The specialized class is a sub-class, and the class it is based on is its superclass In purely object-oriented programming languages, such as Java and C#, all classes might be part of an inheritance tree such that the root class is Object, meaning all objects instances are of Object or implicitly extend Object, which is called a top type
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