Machine Learning

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

• TRUE

• FALSE

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.

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.

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

Which of these apps do not use machine Learning?

• Facebook

• Amazon

• NetFlix

• Non Of the Above