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Section checkpoint · 02

Math for ML

Use this short test to check whether the main ideas from the section are connected in your mind. A strong score means you can recognise the concepts; revisit linked lessons when an answer feels uncertain.

5questionsTarget: 4/5 or better

Question 11 point

Which concept is most appropriate for this situation: You need to apply the idea taught in “Vectors and Matrices” and explain how its input is transformed into a valid output.

Vectors and MatricesBias and VarianceGradient DescentGradients

Question 21 point

Which concept is most appropriate for this situation: You need fast key-to-value lookup, named fields, or counting by category without relying on positional indexes.

GradientsProbability for PredictionVectors and MatricesDot Products and Linear Functions

Question 31 point

Which concept is most appropriate for this situation: You want to package reusable behaviour behind a name and pass values into it explicitly.

Loss FunctionsBias and VarianceVectors and MatricesDot Products and Linear Functions

Question 41 point

Which concept is most appropriate for this situation: You need to apply the idea taught in “Gradients” and explain how its input is transformed into a valid output.

Gradient DescentLoss FunctionsGradientsDot Products and Linear Functions

Question 51 point

Which concept is most appropriate for this situation: You need to apply the idea taught in “Bias and Variance” and explain how its input is transformed into a valid output.

GradientsVectors and MatricesBias and VarianceLoss Functions