Answer:
A computer is defined as an electronic device for storing and processing data, typically in binary form, according to instructions given to it in a variable program.
Four features of a computer would be CPU, GPU, Memory, and Motherboard.
Intensity is the brightness of a color. When a color is not mixed with any black or white it is at full intensity; Also called a pure hue. You can also change the intensity of a color by adding its complimentary color.
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Explanation:
If your asking the program in modular programming of Q-Basic & in sub procedure then here it is.
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<em>-</em><em> </em><em>Regards</em><em> </em><em>Rishab</em><em>.</em><em>.</em>
Answer:
metrics
Explanation:
Given that Metrics is Metrics is an accepted technique of measuring quantities of elements or commodities.
It is used in all facets of human activities particularly in value measurement such as production operation, financial assessment, comparison purposes, etc.
Hence, In addition to benchmark testing, performance measurements, called METRICS, can monitor the number of transactions processed in a given period, the number of records accessed, and the volume of online data.
Answer:
4. Supervised learning.
Explanation:
Supervised and Unsupervised learning are both learning approaches in machine learning. In other words, they are sub-branches in machine learning.
In supervised learning, an algorithm(a function) is used to map input(s) to output(s). The aim of supervised learning is to predict output variables for given input data using a mapping function. When an input is given, predictions can be made to get the output.
Unsupervised learning on the other hand is suitable when no output variables are needed. The only data needed are the inputs. In this type of learning, the system just keeps learning more about the inputs.
Special applications of supervised learning are in image recognition, speech recognition, financial analysis, neural networking, forecasting and a whole lot more.
Application of unsupervised learning is in pre-processing of data during exploratory analysis.
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