What is the purpose of an API (Application Programming Interface)?

To allow different software applications to communicate with each other

In the context of decision trees, what is "pruning"?

Removing branches that have little importance

Why is feature normalization important in machine learning?

To ensure features have a standard scale.

What is a 'cloud' in the context of cloud computing?

A network of remote servers that store, manage, and process data

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Machine Learning and Tech Quest

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Answers

1
When was CBA established?
1931
1990
1902
1912
2
What is the purpose of an API (Application Programming Interface)?
To create a user interface
To connect databases
To allow different software applications to communicate with each other
To encrypt data
3
Which of the following regularizations can lead to sparsity in the model, meaning some coefficients become exactly zero?
L2 regularization (Ridge)
Both L1 and L2 regularization
Neither L1 nor L2 regularization
L1 regularization (Lasso)
4
In the context of decision trees, what is "pruning"?
Splitting the nodes further
Removing branches that have little importance
Adding more features to the model
Increasing the depth of the tree
5
Why is feature normalization important in machine learning?
To increase the accuracy of the model
To reduce the dimensionality of the dataset
To ensure features have a standard scale.
To simplify the model training algorithm
6
Which of the following is NOT a common application of clustering?
Linear regression
Customer segmentation
Anomaly detection
Social network analysis
7
What is a 'cloud' in the context of cloud computing?
A computer operating system
A network of remote servers that store, manage, and process data
Physical data storage
A type of software
8
What technology is primarily used to create virtual reality experiences?
Augmented Reality (AR)
Machine Learning (ML)
Artificial Intelligence (AI)
Virtual Reality (VR)
9
Which of the following tools is commonly used for data visualization in BIAN?
Power BI
Notepad++
Microsoft Word
Adobe Photoshop
10
Which evaluation metric is most appropriate for an imbalanced classification problem?
Accuracy
Mean Squared Error
R-Squared
Precision and Recall

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