问题如下：
Regarding Comment #2, Moresanu 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?
Statement I NNs and DL are well-suited for image and speech recognition, and natural language processing.
Statement II NNs and DL are well-suited for developing single variable ordinary least squares regression models.
Statement III NNs and DL are well-suited for modelling non-linearities and complex interactions among many features.
选项：
A. Statement II only
B. Statements I and III.
C. Statements I, II and III.
解释：
B is correct. NNs and DL are well-suited for addressing highly complex machine learning tasks, such as image classification, face recognition, speech recognition and natural language processing. These complicated tasks are characterized by non-linearities and complex interactions between large numbers of feature inputs.
A is incorrect, because NNs and DL are well-suited for addressing highly complex machine learning tasks, not simple single variable OLS regression models.
C is incorrect, because NNs and DL are well-suited for addressing highly complex machine learning tasks, not simple single variable OLS regression models.
