Slides
Chapter 1.1 Chapter 1.2 Chapter 1.3
Chapter 3.1 Chapter 3.2_Apr 28
Notebooks
2.1.1 Multivariate Linear Regression 
Run in Colab
a. To model and reveal the force of gravity Run in Colab
2.1.2 Gradient Descent & Conjugate Gradient Run in Colab
2.2 Logistic Regression Run in Colab
a. Fisher's Iris Run in Colab
2.3 Support Vector Machine Run in Colab
a. Fisher's Iris Run in Colab
2.4 Principal Component Analysis Run in Colab
a. Ising model Run in Colab
2.5 Clustering Run in Colab
a. Ising model Run in Colab
3.1 Perceptron Run in Colab
3.2 Back propagation_wheat-seeds Run in Colab
3.3 Feedforward Neural Network Run in Colab
3.4 MNielsen network Run in Colab
Supplemental Materials
1. Regression 1.1 Regression_14 Feb 1.2 SVM_24 Feb 1.3 SVM_3 Mar
1.4 SVM hand written.pdf
2. Principal Component Analysis 2D Ising mdel basic
3. Neural Network Feed-forward and Back-propagation