Description

This notes is carefully crafted to pack all course contents in one paper (print setting: 4 pages per sheet, double sided). It is arranged in a way that you could quickly and easily find the relevant materials during the exam.

Includes:
- Definitions
- Rationales, advantages, disadvantages of methods
- Stepped processes
- Formulas

Topics covered:
- Basics of statistical computing
- Regression and smoothing
- Density estimation
- Unsupervised learning and clustering
- Dimension reduction
- Introduction to classification
- Cross-validation and bootstrap
- More on classification
- Tree classifiers and ensembles
- Feature and model selection
- Monte Carlo methods


USYD

Semester 2, 2019


8 pages

7,999 words

$99.00

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Author

Woodstock

Campus

USYD, Camperdown/Darlington

Member since

February 2020