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Mathematics Behind Machine Learning

Total questions: 8

Worksheet time: 4mins

Name
Class
Date
1.

What activation function will you use when the model expects you to predict the probability as an output?

a)

ReLu

b)

Sigmoid/Logistic

c)

Tanh

2.

Select the odd one out with respect to the basic elements of a neural network

a)

Inputs

b)

Weights

c)

Bias

d)

Activation Function

e)

Convolution

3.

Sigmoid function graph is shaped like a __________

a)

Elongated S

b)

Triangular

c)

Mirrored and elongated S

d)

Sine Curve

4.

For a Sigmoid Function, the value of σ(Z)\sigma\left(Z\right)  for Z = 0 is

a)

0.5

b)

−∞-\infty  

c)

∞\infty  

d)

0

5.

Best Fit line is applicable to

a)

Linear and variable datapoints

b)

Heavily stacked datapoints

c)

Sparsely scattered datapoints

6.

How many lettered words can be entered once in Wordle?

a)

6

b)

5

c)

7

7.

A machine learning model will have only one neural network

a)

Yes

b)

No

8.

What did Turing prove?

a)

Determine whether or not a computer is capable of thinking like a human being

b)

Humans are fools and can never think better

c)

Computers are foolish and can never think better