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Questions and Answers
What is the purpose of the Gradient Descent algorithm in linear regression?
What is the purpose of the Gradient Descent algorithm in linear regression?
- To minimize the cost function (correct)
- To add noise to the data
- To make the model more complex
- To maximize the cost function
In the context of linear regression, what does J(θ₀,θ₁) represent?
In the context of linear regression, what does J(θ₀,θ₁) represent?
- The cost function (correct)
- The learning rate
- The parameters of the model
- The number of iterations
How does the learning rate affect the Gradient Descent algorithm?
How does the learning rate affect the Gradient Descent algorithm?
- Learning rate determines the number of iterations
- Higher learning rate leads to faster convergence (correct)
- Lower learning rate leads to faster convergence
- Learning rate has no impact on convergence
What is the relationship between the parameters θ₀ and θ₁ in linear regression?
What is the relationship between the parameters θ₀ and θ₁ in linear regression?
Which function does the Gradient Descent algorithm aim to optimize in linear regression?
Which function does the Gradient Descent algorithm aim to optimize in linear regression?
What is the significance of iterations in the Gradient Descent algorithm for linear regression?
What is the significance of iterations in the Gradient Descent algorithm for linear regression?
Which concept relates to finding the 'elbow' in linear regression?
Which concept relates to finding the 'elbow' in linear regression?
How does adjusting the model parameters impact linear regression?
How does adjusting the model parameters impact linear regression?
What is a key characteristic of a good learning rate in Gradient Descent for linear regression?
What is a key characteristic of a good learning rate in Gradient Descent for linear regression?
In linear regression, what is primarily updated during each iteration of the Gradient Descent algorithm?
In linear regression, what is primarily updated during each iteration of the Gradient Descent algorithm?
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