1. 1. Introduction
2. 1. 1.1. What is ALPHA-g?
   2. 1.2. Vertex Reconstruction Overview
   3. 1.3. Why Machine Learning?
3. 2. Session 1: Getting Started
4. 1. 2.1. Setting up the Environment
   2. 2.2. Exploring the Data
   3. 2.3. Data Preprocessing
   4. 2.4. Training and Evaluating the Baseline Model
5. 3. Session 2: Understanding and Improving the Model
6. 1. 3.1. Understanding the Model Architecture
   2. 3.2. Improving the Model
   3. 3.3. Hyperparameter Tuning
   4. 3.4. Optional: Large Dataset
7. 4. Session 3: Presenting Your Results