Launching into Machine Learning

Module Quiz of Launching into Machine Learning

ByAdmin July 8, 2021

Week – 3 Module Quiz of Launching into Machine Learning

The loss metric output for RMSE is measured in the same units as the error making it easier to directly interpret

They produce the same result

The loss metric output for MSE is measured in the same units as the error making it easier to directly interpret

MSE and RMSE both square the error to avoid any negative signs and then take the square root

Recall

Accuracy

Precision

Cross Entropy

Take the Derivative of the Loss Function

Take a step down the loss curve

Calculate the Loss

Increase the learning rate

There will always be a gap between the metrics we care about and the metrics that work well with gradient descent.

There will never be a gap between the metrics we care about and the metrics that work well with gradient descent.

There will always be a gap between the metrics we care about and the metrics that will not work with gradient descent.

None of the above

Performance metrics will allow us to reject models that have settled into inappropriate minima.

Performance metrics will allow us to accept models that have settled into inappropriate minima.

Both A and B

None of the above

Performance metrics are easier to understand.

Performance metrics are directly connected to business goals.

Both A and B

None of the above

Recall is inversely related to precision.

Recall is like a person who never wants to be left out of a positive decision.

Both A and B

None of the above

Learning rate

Batch size

Both A and B

None of the above

Launching into Machine Learning

Practice Quiz on Exploratory Data Analysis
ByAdmin July 8, 2021July 8, 2021

Week – 1 Practice Quiz on Exploratory Data Analysis of Launching into Machine Learning 1. Which is the correct sequence of steps in data analysis and data visualisation of Exploratory…

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Launching into Machine Learning

Lesson Quiz
ByAdmin July 8, 2021

Week – 3 Lesson Quiz of Launching into Machine Learning 1. For the formula used to model the relationship i.e. y = mx + b, what does ‘m’ stand for?…

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Launching into Machine Learning

Regression and Classification
ByAdmin July 8, 2021

Week – 2 Regression and Classification of Launching into Machine Learning 1. We can minimize the error between our predicted continuous value and the label’s continuous value using which model?…

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Launching into Machine Learning

Module Quiz of Launching into Machine Learning
ByAdmin July 8, 2021

Week – 4 Module Quiz of Launching into Machine Learning 1. Which of the following statements is true? 1 point You don’t need three separate queries to generate training, validation,…

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Launching into Machine Learning

Linear Regression
ByAdmin July 8, 2021

Week – 2 Linear Regression of Launching into Machine Learning 1. Fill in the blanks. In the video, we presented a linear equation. This hypothesis equation is applied to every…

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Launching into Machine Learning

Week – 3 Lesson Quiz of Launching into Machine Learning
ByAdmin July 8, 2021

Week – 3 Lesson 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…

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Week – 3 Module Quiz of Launching into Machine Learning

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