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Nonlinear

ByDavis

Definition of Nonlinear Nonlinear: Nonlinearity means that the output of a system is not proportional to the input. In data science, this can often manifest as curved lines when graphing data points, rather than a straight line. Nonlinear systems can be more difficult to model and predict future outcomes.

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Quantization

ByDavis

Definition of Quantization Quantization: Quantization is the process of reducing the number of unique values in a set of data. This is often done by dividing the data into bins and assigning a unique value to each bin. This technique is often used in data science to make sure that data can be processed and…

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Histogram

ByDavis

Definition of Histogram A histogram is a graphical representation of the distribution of data. It is created by dividing the range of data into a series of equal intervals, and then counting the number of data points that fall into each interval. What is a Histogram used for? A histogram is a graphical representation of…

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Metadata

ByDavis

Definition of Metadata Metadata: Metadata is data that describes other data. It can include information such as the date a file was created, the author of a document, or the keywords used to identify a piece of content. Metadata can be used to help organize and find information, and to track changes to data over…

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Inductive Reasoning

ByDavis

Definition of Inductive Reasoning Inductive Reasoning: Inductive reasoning is a type of inference that starts with specific observations and then draws general conclusions from them. What are some examples of when an Inductive Reasoning may be used? Inductive reasoning is an important tool used in data science and machine learning. It involves drawing conclusions from…

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