COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
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.
|
Detailed explanation-1: -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.
Detailed explanation-2: -What type of data does machine learning need? Data can come in many forms, but machine learning models rely on four primary data types. These include numerical data, categorical data, time series data, and text data.
Detailed explanation-3: -Machine learning is used in internet search engines, email filters to sort out spam, websites to make personalised recommendations, banking software to detect unusual transactions, and lots of apps on our phones such as voice recognition.
Detailed explanation-4: -The three machine learning types are supervised, unsupervised, and reinforcement learning.
Detailed explanation-5: -There are many ways to frame this idea, but largely there are three major recognized categories: supervised learning, unsupervised learning, and reinforcement learning.