Consider the Following Code: Import Numpy as Np

question 75

Multiple Choice

Consider the following code: import numpy as np
Index = np.random.choice(np.arange(len(X_train) ) , 24, replace=False)
Figure, axes = plt.subplots(nrows=4, ncols=6, figsize=(16, 9) )
For item in zip(axes.ravel() , X_train[index], y_train[index]) :
Axes, image, target = item
Axes.imshow(image, cmap=plt.cm.gray_r)
Axes.set_xticks([]) # remove x-axis tick marks
Axes.set_yticks([]) # remove y-axis tick marks
Axes.set_title(target)
Plt) tight_layout()
Which of the following statements a) , b) or c) is false?

• A) NumPy's choice function (from the numpy.random module) selects the number of elements specified in its second argument from the front of the array of values in its first.
• B) The choice function returns an array containing the selected values, which we store in index.
• C) The expressions X_train[index] and y_train[index] use index to get the corresponding elements from both arrays.
• D) All of the above statements are true.

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Definitions:

Yield Management

A variable pricing strategy based on understanding, anticipating, and influencing consumer behavior in order to maximize revenue or profits.

Capacity Allocation

The process of distributing available resources or capacity among various operations, processes, or production orders to maximize efficiency and meet demand.

Intermediate Future

A period that lies between the near future and the distant future, often used in the context of forecasting or planning over a few years to a decade.

Perishable Inventory

Items or goods that have a limited lifespan or shelf life, requiring careful inventory management to minimize losses due to spoilage or obsolescence.