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What is Artificial Intelligence (AI) ?

• It is the ability of machines to mimic human intelligence by learning, reasoning, and making decisions.

• It is the process by which machines are programmed to function entirely without any human intervention or data input.

• Artificial Intelligence (AI) refers to the physical components of computer systems designed to enhance processing speed and storage capacity.

• It is a system of predefined rules and manual coding that determines the behavior of machines based on static conditions.

What is the error of a model?

• Take given input

• Calculate the model prediction

• Compare with the corresponding data point

• All of the above

What does the Loss Function measure?

• The overall quality of the model

• The accuracy of the model

• The complexity of the model

• The number of parameters in the model

What is the sum of squared errors used for?

• As a loss function

• To calculate the gradient

• To optimize the model

• To evaluate the model's performance

What is the main idea of Gradient Descent?

• To find the maximum value of a function

• To iteratively descent into the direction with the maximum change in the gradient

• To calculate the loss function

• To optimize the parameters of the model

What is the learning rate in optimization theory?

• The step size in optimization

• The maximum change in the gradient

• The initial parameter set

• The convergence criteria

What is the role of model parameters?

• To define the input values

• To represent the output values

• To be chosen for the selected model

• To calculate the loss function

What does the term 'Residual' refer to?

• The predicted value of the model

• The error of the model

• The sum of squared errors

• The overall quality of the model

What is the purpose of the Loss Function?

• To measure the accuracy of the model

• To optimize the parameters

• To evaluate the model's performance

• All of the above

In Batch Gradient Descent, we need to scan the complete dataset in every iteration / update step!