A computer compares data fragments to carry out processes, and then responds to the comparison's findings with programmed actions. Is giving an explanation reasonable?

Q: Author asserts, "Machine learning is an empirical science." What is the significance of this phrase?

A: The above question is solved in step 2 :-

Q: A computer compares data fragments to carry out processes, and then responds to the comparison's…

A: Introduction: A computer executes the recommended course of action after running programmes that…

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A: Intro Analysis of algorithm is the process of analyzing the problem-solving capability of the…

Q: The distinction between data and information may be explained by using examples.

A: answer is

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Q: Author asserts, "Machine learning is an empirical science." What is the significance of this phrase?

A: Introduction: Machine learning studies algorithmic learning.Machine Learning focuses on using data…

Q: A computer compares data elements and then takes a programmed course of action based on the…

A: GIVEN: A computer compares data elements and then takes a programmed course of action based on the…

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A: Defined the given statement

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Q: A computer compares data fragments to carry out processes, and then responds to the comparison's…

A: A computer executes programmes based on comparisons between data items and then carries out the…

Q: A computer compares data fragments to carry out processes, and then responds to the comparison's…

A: Introduction: A computer executes the recommended course of action after running programmes that…

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Q: Author asserts, "Machine learning is an empirical science." What is the significance of this phrase?

A: ML is also known as the machine learning.

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A: Introduction: What is the process through which algorithms operate?

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A: Algorithmic bias:-

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Data Dictionary

A database management system has an entity-relationship diagram, data dictionary, and data model as some of its key components, which are tools for the users who are managing the database. One of them is the data dictionary. The data dictionary can also be called metadata. By definition, metadata is a generic concept in the world of information and technology. An example of metadata could be meta-information about a media file or an image file, like author, location, last updated, size, etc. The contents of a data dictionary are names, attributes, and properties of main data elements which are captured during an experiment or stored in an information system, for example, databases. We can also call it a central repository of information about the main data.