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PART 1 -- MACHINE LEARNING FOR ENGINEERING APPLICATIONS

PART 2 -- STATISTICAL REGRESSION

Lecture 2 -- Regression and interpretation
- Computer Examples
- Computer Excercises
Lecture 3 -- Polynominal and spline fitting
- Computer Examples
- Computer Excercises
Lecture 4 -- Model parameter estimation by gradient
- Computer Examples
- Computer Excercises
Lecture 5 -- GLM GAM and Mixed-effects model
- Computer Examples
- Computer Excercises

PART 3 -- MACHINE LEARNING METHODS

Lecture 6 -- Logistical regression and classification
- Computer Examples
- Computer Excercises
Lecture 7 -- Decision trees and ensemble algorithm
- Computer Examples
- Computer Excercises
Lecture 8 -- Boosting methods (XGBoost)
- Computer Examples
- Computer Excercises
Lecture 9 -- Support vector machine
Lecture 10 -- Artificial neural network

PART 4 -- TIME SERIES LEARNING METHODS

Lecture 11 -- Gaussian transformation methods
- Computer Examples
- Computer Excercises
Lecture 12 -- Basic properties of stationary Gaussian process
Lecture 13 -- Time series analysis and model exploration
Lecture 14 -- Auto regressive models and Moving average models (1)
- Computer Examples
Lecture 15 -- Auto regressive models and Moving average models (2)
Lecture 16 -- ARIMA models

PROJECT ASSIGNMENT

PART 5 -- DATA FILTERING METHODS (upcoming)

PART 6 -- DEEP LEARNING AND SPATIO-TEMPORAL MODELLING (upcoming)

Index

By Wengang Mao