What is the process of applying machine learning algorithms to data called?Select one:a.Data modelingb.Data analysisc.Data visualizationd.Data mining

Break Down the Problem

1. Identify the process related to machine learning algorithms.
2. Analyze the options provided to find the correct one.

Relevant Concepts

• Data Modeling: The process of creating a model to represent data and define its structure.
• Data Analysis: The process of inspecting, cleaning, and modeling data to discover useful information.
• Data Visualization: The representation of data through visual elements like charts and graphs.
• Data Mining: The process of discovering patterns and extracting useful information from large sets of data, often involving machine learning algorithms.

Analysis and Detail

• Data modeling does not specifically apply to machine learning; it is more about creating frameworks for data.
• Data analysis encompasses many techniques, but it is broader than just applying algorithms.
• Data visualization is focused solely on presenting data visually, not on the application of algorithms.
• Data mining specifically refers to the techniques used for discovering previously unknown patterns in large data sets, often through machine learning algorithms.

Verify and Summarize

By analyzing each term, it is clear that the process that directly applies machine learning algorithms to data is best described by the term "data mining."

Final Answer

d. Data mining