Answer-first summary for fast verification
Answer: Statements I and III.
## Explanation **Statement I is correct**: Neural networks and deep learning are indeed well-suited for image and speech recognition, and natural language processing. These are complex pattern recognition tasks where DL has shown remarkable success. **Statement II is incorrect**: Neural networks and deep learning are overkill for single variable ordinary least squares regression models. Simple linear regression is more appropriate and efficient for such straightforward relationships. **Statement III is correct**: Neural networks excel at modeling non-linearities and complex interactions among many features due to their ability to learn hierarchical representations through multiple layers. Therefore, only Statements I and III are correct.
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The analyst has been thinking about the applications of neural networks (NNs) and deep learning (DL) to investment management. Which statement(s) best describe(s) the tasks for which NNs and DL are well-suited?
A
Statement I only.
B
Statement II only.
C
Statements I and III.
D
Statements I, II and III.
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