QUESTIONS WITH ANSWERS |\ |\
The Proctor & Gamble brand Olay has a mobile
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application that enables customers to obtain skincare
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assessments. The app examines the customer's image to |\ |\ |\ |\ |\ |\ |\ |\
determine potential skin issues and then recommends
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specific products to address areas of concern. This is an
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example of using a neural network to|\ |\ |\ |\ |\ |\
personalize customer experiences. |\ |\
In the context of activation functions, which of the
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statements is true? |\ |\
Activation functions help the model to detect non-linear
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relationships.
A health insurance company uses Neuralmind to drive its
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customers to log on to its website and complete a primary
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health assessment and an insurance quote. This is an
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example of using a neural network to|\ |\ |\ |\ |\ |\
Increase New Customers |\ |\
,Under Armour has a health-tracking mobile application
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known as Record. The app collects health-related data
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from a variety of sources, such as manually entered user
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data, wearable devices, and other third-party
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applications. The data includes sleeping patterns, |\ |\ |\ |\ |\ |\
workouts, nutrition, and related information that can best
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be used in a neural network t
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develop customized digital content, such as exercise and
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diet recommendations for its app users.
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Neural networks |\
often do not work well with out-of-range data.
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Which of the following is an example of using a neural
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network to create products and make service
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recommendations?
Netflix uses neural networks to develop insights into
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viewer preferences to improve production and
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procurement of relevant movies. |\ |\ |\
,In a neural network, the hidden layer sits on top of the
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input and output layers. |\ |\ |\
False
A marketing company uses BrainMaker to identify the
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customers who are most likely to click on their direct mail |\ |\ |\ |\ |\ |\ |\ |\ |\ |\ |\
based on their past purchase behavior. This resulted in a
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35 percent drop in advertising costs. This is an example
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of using a neural network to
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classify new customers by their likely profitability when
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planning direct marketing strategies. |\ |\ |\
In a neural network, inputs
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are variables from the dataset that move information to
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the next layer via connections.
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Neural networks can aid marketers in predicting customer
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behavior, understanding buyer segmentation, developing
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brand strategies, forecasting sales, optimizing inventory,
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improving marketing automation, developing digital |\ |\ |\ |\ |\
content, and much more. |\ |\ |\
True
, Regression is useful for forecasting consumer behavior |\ |\ |\ |\ |\ |\ |\
when predictive relationships are linear.
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True
In a neural network, which of the following occurs during
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the process of forward propagation?
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sending of data through the hidden layer where it is
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processed using an activation function |\ |\ |\ |\
A neural network is constantly learning until the final
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optimized solution is obtained, which is when model
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prediction is no longer improving. |\ |\ |\ |\
True
In a neural network, the output is calculated as
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Output = sum (weights × inputs) + bias.
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