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Which of the following statements best describes the relationship between AI, machine learning, and deep learning?
Machine learning is a subset of AI, and deep learning is a subset of machine learning.
AI is a subset of machine learning, which is a subset of deep learning.
Deep learning is a subset of AI, and machine learning is a subset of deep learning.
AI, machine learning, and deep learning are three distinct and unrelated fields.
Which algorithm would be the most appropriate for predicting house prices and why?
Classification algorithms because they are used to sort data into predefined categories.
Regression algorithms because they are designed to predict continuous outcomes based on input variables.
Regression algorithms because they group similar data points together based on their characteristics.
Classification algorithms because they are used to find the best solution for realtors such as determining the quickest sale.
Which milestone most significantly contributed to the practical applications of AI in every day life and why?
Alan Turing's question "Can machines think?" in 1950 because this sparked interest in AI.
Development of the Logic Theorist in 1956 because it was a significant technical achievement that started the advancement of AI programs.
The shift to a data-driven approach in the 2000s.
Introduction of virtual assistants into everyday products in the 2010s.
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