Question 1

Under Armour has a health-tracking mobile application known as Record. The app collects health-related data from a variety of sources, such as manually entered user data, wearable devices, and other third-party applications. The data includes sleeping patterns, workouts, nutrition, and related information that can best be used in a neural network to

Accepted Answer

A)  develop customized digital content, such as exercise and diet recommendations for its app users. 
B)  entice customers to visit a brick-and-mortar store. 
C)  classify new customers by their potential profitability when planning direct marketing strategies. 
D)  predict a customer lead score.

Question 2

Neural networks are acknowledged for their good predictive performance and can be generalized to new values.

Accepted Answer

A) True 
 B)False

Question 3

List and explain the key reminders to be used when using neural networks.

Accepted Answer

The answer of List and explain the key reminders to...

Question 4

Explain how a digital content streaming platform such as Netflix might employ a neural network to improve business.

Accepted Answer

The answer of Explain how a digital content streaming platform...

Question 5

According to neural networks practitioner Stephen Brobst, a neural network technology is most likely to be used when the dataset is

Accepted Answer

A)  clean. 
B)  highly dimensional. 
C)  complete. 
D)  smaller than what is required for linear regression.

Question 6

Explain the three layers of a neural network and the functions of each layer.

Accepted Answer

The answer of Explain the three layers of a neural...

Question 7

In a neural network, weights are values representing features from the dataset that pass information to the next layer via connections.

Accepted Answer

A) True 
 B)False

Question 8

According to practitioner Stephen Brobst, which of the following is the best approach for cost-effective predictive capabilities?

Accepted Answer

A)  to rely heavily on deep learning and neural networks for maximum predictability 
B)  to retain and use traditional machine learning models as they are much cheaper to execute 
C)  to think of traditional machine learning and deep learning as complementary 
D)  to find that one best algorithm that predicts customer behavior most precisely

Question 9

In a neural network, which of the following occurs during the process of forward propagation?

Accepted Answer

A)  determination of the speed at which the model can arrive at the most accurate solution 
B)  sending of data through the hidden layer where it is processed using an activation function 
C)  transmission of total loss back into the neural network to understand the amount of loss from each neuron 
D)  determination of the amount of adjustment made to the weights in the network

Question 10

Which of the following is an example of using a neural network to create products and make service recommendations?

Accepted Answer

A)  Cricket Wireless works with Cognitiv to come up with solutions to predict the likelihood of non-Cricket customers visiting the store and to develop digital advertising campaigns. 
B)  Microsoft uses BrainMaker, a neural network software, to determine which customers are most likely to open their direct mail based on past purchase behavior. 
C)  Netflix uses neural networks to develop insights into viewer preferences to improve production and procurement of relevant movies. 
D)  ASOS uses neural networks to analyze customer behavior that occurs on the website to predict the value of a customer.

Question 11

Illustrate with a short example and description how a neural network learns.

Accepted Answer

The answer of Illustrate with a short example and description...

Question 12

In the context of activation functions, which of the statements is true?

Accepted Answer

A)  Activation functions are used to identify linear regressions. 
B)  Weights decrease the speed in switching on the activation functions. 
C)  Bias in the network speeds up the activation functions. 
D)  Activation functions help the model to detect non-linear relationships.

Question 13

In a neural network, the hidden layer sits on top of the input and output layers.

Accepted Answer

A) True 
 B)False

Question 14

In a neural network, the learning rate determines the speed at which the model can reach the most accurate solution.

Accepted Answer

A) True 
 B)False

Question 15

A health insurance company uses Neuralmind to drive its customers to log on to its website and complete a primary health assessment and an insurance quote. This is an example of using a neural network to

Accepted Answer

A)  analyze audience sentiment. 
B)  entice customers to a brick-and-mortar store. 
C)  predict lead scoring. 
D)  increase new customers.

Question 16

Compare and contrast forward propagation and backward propagation.

Accepted Answer

The answer of Compare and contrast forward propagation and backward...

Question 17

In a neural network, the output is calculated as

Accepted Answer

A)  Output = inputs (bias × sum) + weights. 
B)  Output = bias (weights × inputs) + sum. 
C)  Output = weights (sum × bias) + inputs. 
D)  Output = sum (weights × inputs) + bias.

Question 18

The Proctor & Gamble brand Olay has a mobile application that enables customers to obtain skincare assessments. The app examines the customer's image to determine potential skin issues and then recommends specific products to address areas of concern. This is an example of using a neural network to

Accepted Answer

A)  assess market sentiment. 
B)  determine the value of a potential buyer. 
C)  personalize customer experiences. 
D)  predict lead scoring.

Question 19

In a neural network, inputs

Accepted Answer

A)  are variables from the dataset that move information to the next layer via connections. 
B)  are the constant value given to the weighted input of each node. 
C)  determine the speed at which the model can arrive at the most accurate solution. 
D)  determine the amount of adjustment made to the weights in the network.

Exam 6: Neural Networks

Neural networks are acknowledged for their good predictive performance and can be generalized to new values.

List and explain the key reminders to be used when using neural networks.

Explain how a digital content streaming platform such as Netflix might employ a neural network to improve business.

According to neural networks practitioner Stephen Brobst, a neural network technology is most likely to be used when the dataset is

Explain the three layers of a neural network and the functions of each layer.

In a neural network, weights are values representing features from the dataset that pass information to the next layer via connections.

According to practitioner Stephen Brobst, which of the following is the best approach for cost-effective predictive capabilities?

In a neural network, which of the following occurs during the process of forward propagation?

Which of the following is an example of using a neural network to create products and make service recommendations?

Illustrate with a short example and description how a neural network learns.

In the context of activation functions, which of the statements is true?

In a neural network, the hidden layer sits on top of the input and output layers.

In a neural network, the learning rate determines the speed at which the model can reach the most accurate solution.

A health insurance company uses Neuralmind to drive its customers to log on to its website and complete a primary health assessment and an insurance quote. This is an example of using a neural network to

Compare and contrast forward propagation and backward propagation.

In a neural network, the output is calculated as

The Proctor & Gamble brand Olay has a mobile application that enables customers to obtain skincare assessments. The app examines the customer's image to determine potential skin issues and then recommends specific products to address areas of concern. This is an example of using a neural network to

In a neural network, inputs