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# Week – 3 Lesson Quiz of Launching into Machine Learning

### Week – 3 Lesson Quiz of Launching into Machine Learning

Activation functions
Bias term
Linear model

Log loss
Mean Squared Error
Likelihood
None of the above

Log Loss, Focus Loss
Cross Entropy, Log Loss
Mean Squared Error, Cross Entropy
None of the above

MSE
Cross entropy
Both a & b
None of the above
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### Generalization and ML Models

### Module Quiz of Launching into Machine Learning

1. Fill in the blanks: At its core, a ________ is a method of evaluating how well your algorithm models your dataset. If your predictions are totally off, your _________ will output a higher number. If they’re pretty good, it will output a lower number. As you change pieces of your algorithm to try and improve your model, your ______ will tell you if you’re getting anywhere.

1 point

2. Fill in the blanks: Simply speaking, __________ is the workhorse of basic loss functions. ______ is the sum of squared distances between our target variable and predicted values.

1 point

3. Loss functions can be broadly categorized into 2 types: Classification and Regression Loss. _____ is typically used for regression and ______ is typically used for classification.

1 point

4. Which of the following loss functions is used for classification problems?

1 point

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