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4 cards from this section. Quick, good the night before a test.
What function in NumPy calculates the mean of an array?
Think about how average is calculated.
What is the primary purpose of NumPy?
Remember its common usage in ML.
What does NumPy primarily deal with?
Think of the name: it starts with 'Num'!
True or False: NumPy can handle operations on entire arrays at once.
Consider how it differs from standard Python lists.
Given a list of numbers, create a NumPy array, calculate the variance, and explain its significance in ML.
Variance gives insight into data spread. Think about how this relates to predictions.
Create a function that takes in two NumPy arrays and returns their dot product. Discuss how this operation is useful in ML.
Consider how weighting inputs relates to predictions.
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