Machine Learning

Machine Learning

Professional Development

5 Qs

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Machine Learning

Machine Learning

Assessment

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Professional Development

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Although machine learning is an interesting concept, there are limited business applications in which it is useful

TRUE

FALSE

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does deep learning differ from conventional machine learning?

Deep learning algorithms can handle more data and run with less supervision from data scientists.

Machine learning is simpler, and thus requires less oversight by data analysts than deep learning does.

There are no real differences between the two -- they are the same tool with different names.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Machine learning can be used on many types of data, structured and unstructured. All of the following are examples of effective uses of machine learning except ...

Personalizing marketing campaigns based on customer demographics and purchase history.

Detecting possible fraudulent activity in financial transaction data.

Examining internet of things (IoT) data to predict equipment issues before they arise.

Analyzing previous product revenue data to determine the cause of dropping sales.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Although machine learning is useful, it can be difficult to implement. Which is NOT one common obstacle faced by businesses looking to use machine learning tools?

Not enough data to perform machine learning processes.

Lack of necessary skills

Insufficient Computing Power

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of these apps do not use machine Learning?

Facebook

Amazon

NetFlix

Non Of the Above

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