An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
13th Edition
ISBN: 9781461471370
Author: Gareth James
Publisher: SPRINGER NATURE CUSTOMER SERVICE
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Chapter 2, Problem 6E
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Difference between a parametric and non parametric model
| Parametric | Non parametric |
| It reduces estimating f to the problem of estimating parameters. | It avoids assumptions about the shape of f. |
| It uses flexible models. | It is excellent for non linear models. |
| The chosen model will not match the true unknown form. | It has the option to fit a wider range of possible shapes for f... |
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A) What is regression?
B) How we can use it to estimate relationship between dependent and independent variables?
C) How we can use it in machine learning?
Using specific examples, please explain the rationale behind your choice of one machine learning model over another.
what is regression and classification in machine learning?
Chapter 2 Solutions
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
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- Assessing a machine learning model is fundamental as creating it in the context of a Classification Model. Therefore, you are required to discuss the appropriate way to assess a Classification Model.arrow_forwardIs it possible to tell a prescriptive model from a descriptive one by looking at the differences?arrow_forwardIs it feasible to differentiate between descriptive and prescriptive models by looking at the differences between the two?arrow_forward
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- In what ways are prescriptive models different from predictive models?arrow_forwardModels for machine learning are often taught using large, well-characterized data sets (or attributes). However, we are cognizant of the fact that characteristics may be meaningful or irrelevant depending on the context. Give some examples of how the "utility" of a feature may be explained.arrow_forwardIntroduce the procedures of model-based statistical testing process. What is the difference between a lifecycle model and an engineering model? Name two examples each and explain why they fit into their corresponding category.arrow_forward
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