List of top Data Science Questions on Machine Learning asked in CUET (PG)

Which ensemble technique reduces variance by training multiple trees on different subsets of data?
A high variance in a machine learning model is a primary indicator of which problem?
In Linear Regression, what is the primary goal of the Ordinary Least Squares (OLS) method?
Which activation function is zero-centered and ranges between \(-1\) and \(1\)?
When the output is one of a finite set of values (such as sunny/cloudy/rainy or true/false), the learning problem is known as:
The agent observes input-output pairs and learns a function that this learning maps from input to output. For example, the inputs could be camera images, each one accompanied by an output saying "bus" or "pedestrian," etc. This type of learning is known as: