Data Science Technical Terms

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There are currently 21 names in this directory
A process or set of rules to be followed in calculations or other problem-solving operations.
Artificial Intelligence
The development of computer systems able to perform tasks that involve human intelligence (i.e. visual perception, speech recognition, decision-making, and translation between languages).
A characteristic of data that sets it apart from other data (i.e. location, length, or type).
Making a software or hardware that is capable of doing things automatically without human intervention.
The process of organizing data into categories for its most effective and efficient use.
the grouping of similar objects into a set.
Data Acquisition
The process of sampling signals that convert into digital numeric values that can be manipulated by the computer.
Data Cleaning
the process of detecting and correcting (or removing) corrupt or inaccurate records from a recordset, table, ordatabase
Data Mining
The practice of examining large databases in order to generate new information.
A collection of related sets of information that is composed of separate elements but can be manipulated as a unit by a computer.
Deep Learning
A subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured.
Taking a specific concept and apply it more broadly.
The act or process of combining.
A package of data codes
Machine Learning
The scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead.
A system for using data already stored in a computer to generate the letters or words a user is likely to enter next, on the basis of data already entered.
A combination of structured (i.e. numbers, categories) and unstructured data (i.e videos, images, sounds, texts).
A person with an interest or concern in something, especially in business.
The algorithms learn to predict the output from the input data.
The algorithms learn to inherent structure from the input data.
The graphical representation of information and data by using visual elements like charts, graphs, maps, tools.

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