Answer: np.random.uniform(0,1,100)
Explanation:
import numpy as np
#pass the random uniform generated array into x
x = np.random.uniform(low, high, size)
#here low = 0, high = 1, size = 100
x = no.random.uniform(0,1,100)
Answer:
make several extra copies of the pictures and frame them right away if they're printed out.
Explanation:
Answer:
The generic data structure of a n-dimensional array is a tensor.
An example with 3 dimension can be a cube that contains the following dimensions: users, items, time. That cube can represent the interactions of users with verifiied pages of public interests (influencers or company/media pages) in time slots (e.g. weekly timeslots).
Explanation:
You can represent in a sparse 3-dimensional array (tensor) the combinations of which user interacted with wich item in a given timeslow.
Answer:
E. 172.16.18.255 255.255.252.0
Explanation:
Oh goodie, this is my home turf.
The answer is E) 172.16.18.255 255.255.252.0
This is because your subnet network ID includes mask \22, which means the ending with 255 255.255.252.0, which is standard for Class B. Only option E falls as an adequate host due to the network being 172.16.16 and broadcasting 16.19.
