Of textbook B - weblectures assignment
4 important questions on Of textbook B - weblectures assignment
In statistical machine learning, what are the dependent and independent variables called?
- Independent variables are called: X, inputs, regressors, covariates or features
- dependent variables are also called: Y, outputs, responses or targets
Which broad categories of supervised learning problems are there?
- Regression problems are problems where Y is quantitative (continuous); food prices, blood pressure, etc.
- classification problems are problems where Y takes a value out of a finite set of values (discrete); died/survived, personality categories, etc.
What are the objectives of supervised statistical learning methods?
- On the basis of training data we would like to:
- accurately predict unseen test cases
- understand which inputs affect the outcome and how
- assess the quality of our predictions and inferences.
- assessment of performance of a method
- Higher grades + faster learning
- Never study anything twice
- 100% sure, 100% understanding
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What is the difference between machine learning and statistical learning?
- Machine learning has greater emphasis on large scale application and prediction accuracy
- statistical learrning emphasizes models and their interpretability and precision and uncertainty
The question on the page originate from the summary of the following study material:
- A unique study and practice tool
- Never study anything twice again
- Get the grades you hope for
- 100% sure, 100% understanding
