_toc.yml

# Table of contents
# Learn more at https://jupyterbook.org/customize/toc.html

format: jb-book
root: INTRO
parts:
  - caption: 00 Prerequisite Mathematics
    chapters:
      - file: Unit00_Prerequisite/01_Summation
      - file: Unit00_Prerequisite/02_Product_Notation
      - file: Unit00_Prerequisite/03_Function_Properties
      - file: Unit00_Prerequisite/04_Points_Vectors
      - file: Unit00_Prerequisite/05_Planes
      - file: Unit00_Prerequisite/06_Probability_Density_Functions
      - file: Unit00_Prerequisite/07_Univariate_Gaussians
      - file: Unit00_Prerequisite/08_Differential_Calculus
      - file: Unit00_Prerequisite/09_Gradients
      - file: Unit00_Prerequisite/10_Matrices
      - file: Unit00_Prerequisite/Project00/Part1
      - file: Unit00_Prerequisite/Project00/Part2
  - caption: 00 Self Exploration
    chapters:
      - file: 00_Self_Exploration/Similarity
      - file: 00_Self_Exploration/Concepts
      - file: 00_Self_Exploration/Linear_Algebra
      - file: 00_Self_Exploration/asset/Machine_Learning_mindmap
  - caption: Scientific Python
    chapters:
      - file: python_learning/scientific-python-lectures/Lecture-0-Scientific-Computing-with-Python
      - file: python_learning/scientific-python-lectures/Lecture-1-Introduction-to-Python-Programming
      - file: python_learning/scientific-python-lectures/Lecture-2-Numpy
      - file: python_learning/scientific-python-lectures/Lecture-3-Scipy
      - file: python_learning/scientific-python-lectures/Lecture-4-Matplotlib
      - file: python_learning/scientific-python-lectures/Lecture-5-Sympy
  - caption: CS231N Python
    chapters:
      - file: python_learning/standford_cs231n/python_basic
  - caption: 01 Linear Classifiers and Generalizations
    chapters:
      - file: Unit01/01_Linear_Classifiers
      - file: Unit01/02_Perceptron
      - file: Unit01/03_Loss_Function_and_Hinge_Loss
      - file: Unit01/04_Regularization
      - file: Unit01/05_Gradient_Descent
  - caption: Project - Automatic Review Analyzer
    chapters:
      - file: Project_Automatic_Review_Analyzer/project
  - caption: 02 Non-linear Classifiers, Linear regression and Collaborative filtering
    chapters:
      - file: Unit02/06_Linear_Regression
      - file: Unit02/07_Nonlinear_Classification
      - file: Unit02/08_Principal_Component_Analysis
  - caption: Project - Digit Recognition
    chapters:
      - file: Project_Digit_Recognition/00_Digital_Recognition_MNIST
      - file: Project_Digit_Recognition/01_Linear_Regression_Closed_Form
      - file: Project_Digit_Recognition/02_Support_Vector_Machine
      - file: Project_Digit_Recognition/03_Softmax_and_Cross_Entrphy_Loss
  - caption: 03 Neural Networks
    chapters:
      - file: Unit03/09_Embeddings
      - file: Unit03/Neural_Networks
      - file: Unit03/10_Feed_Forward_Neural_Network
      - file: Unit03/Stochastic_Gradient_Descent
  - caption: 05 Reinforcement Learning
    chapters:
      - file: Unit05/Reinforcement_Learning