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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Campus

USYD, Camperdown/Darlington

Member since

February 2020