HKU PHYS3151: Machine Learning in Physics 2023

Slides

Chapter 0

Chapter 1.1         Chapter 1.2         Chapter 1.3

Chapter 2.1         Chapter 2.2

Chapter 3.1         Chapter 3.2         Chapter 3.3

Notebooks

Multivariate Linear Regression

Real life examples Run in Colab
To model and reveal the force of gravity Run in Colab
2D function fitting Run in Colab
Gradient Descent & Conjugate Gradient Run in Colab

Logistic Regression

Real life examples Run in Colab
Example on grade weighting Run in Colab
Fisher's Iris Run in Colab

Support Vector Machine

Fermi surface Run in Colab
Real life examples Run in Colab
Fisher's Iris Run in Colab

Principal Component Analysis

Real life examples Run in Colab
Ising model Run in Colab

Clustering

Real life examples Run in Colab
Ising model Run in Colab

Neural Network

Perceptron Run in Colab
Neural network in Fisher's Iris classification Run in Colab
Back propagation_wheat-seeds Run in Colab
MNielsen network Run in Colab
Feedforward Neural Network Run in Colab

Github Repository

Supplemental Materials

1. Handwritten notes on SVM SVM
2. Mean field hubbard model on square lattice
An example on solving ground state energy using gradient descent method
Run in Colab
3. Handwritten notes on 2D Ising model Ising model
4. Handwritten notes on Neural Network Feed-forward&Back-propagation