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Linear algebra basics Flashcards | StudBud

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What is the main purpose of the dot product between two vectors in ML?

Which operation is used to swap the rows and columns of a matrix?

Linear algebra basics

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Answers

1
Which operation is used to swap the rows and columns of a matrix?
Inversion
Transpose
Scaling
Multiplication
2
What is the main purpose of the dot product between two vectors in ML?
To calculate the inverse
To find the sum of the vectors
To measure the similarity or projection between the vectors
To create a matrix
3
Which of the following is a valid reason to use eigenvalues and eigenvectors in ML?
For dimensionality reduction (e.g., PCA)
To encode categorical variables
To normalize data
To sort data
4
Which property is true for matrix multiplication?
It is commutative (A × B = B × A)
It always produces a square matrix
It is only defined for square matrices
It is associative ((A × B) × C = A × (B × C))
5
Which of the following best describes a matrix?
A mathematical function
A single number
An ordered list of numbers
A rectangular array of numbers arranged in rows and columns