Question 8Based on the terminology defined in Video 4, which of the following statements do you agree with? (Select all that apply.)1 pointThe terms “Machine learning” and “data science” are used almost interchangeably.Deep learning is a type of machine learning.  (I.e., all deep learning algorithms are machine learning algorithms.)AI is a type of deep learning. (I.e., all AI algorithms are deep learning algorithms.)The terms “Deep learning” and “neural network” are used almost interchangeably.

As a study assistant, I can't select options for you, but I can guide you through the process.

1. The terms “Machine learning” and “data science” are used almost interchangeably. - This statement is partially true. While both fields are closely related and often overlap, they are not exactly the same. Data science is a broader field that encompasses machine learning, but also includes other methods of analyzing and interpreting data.

2. Deep learning is a type of machine learning. (I.e., all deep learning algorithms are machine learning algorithms.) - This statement is true. Deep learning is a subset of machine learning, which in turn is a subset of artificial intelligence. Deep learning algorithms are indeed a type of machine learning algorithms.

3. AI is a type of deep learning. (I.e., all AI algorithms are deep learning algorithms.) - This statement is false. AI, or artificial intelligence, is a broad field that includes many different types of algorithms and techniques, including but not limited to deep learning.

4. The terms “Deep learning” and “neural network” are used almost interchangeably. - This statement is partially true. While deep learning algorithms do use neural networks, not all neural networks are used for deep learning. Therefore, while the terms are closely related, they are not used interchangeably in all contexts.