Applying the Magic of Neural Networks

Overview

Discover how to predict football scores using neural networks and Node.js. Learn to leverage the synaptic library for creating a program that applies machine learning to sports betting.

Syllabus

• Introduction to Neural Networks
Basics of Neural Networks
Types of Neural Networks
Role of Neural Networks in Prediction
• Overview of Machine Learning in Sports
Machine Learning Applications in Sports Analysis
Understanding Sports Data
• Introduction to Node.js
Basics of Node.js
Setting Up Node.js Environment
• Synaptic Library Basics
Introduction to Synaptic
Setting Up Synaptic in Node.js
Key Concepts: Layers, Neurons, and Networks
• Data Collection and Preprocessing
Sourcing and Preparing Football Data
Data Cleaning and Transformation
Feature Selection and Engineering
• Building a Neural Network Model
Designing a Neural Network for Score Prediction
Training the Neural Network
Evaluating Model Performance
• Implementing the Neural Network in Node.js
Integrating Synaptic with Node.js
Running and Testing the Model
• Optimizing and Tuning the Model
Hyperparameter Tuning Techniques
Overfitting and Underfitting Solutions
• Deploying the Application
Best Practices for Deployment
Maintaining and Updating the Model
• Case Studies and Applications
Examples of Successful Sports Betting Models
Ethical Considerations in Predictive Modeling
• Project: Building a Football Score Predictor
Defining the Project Scope
Implementing and Testing the Model
Documenting and Presenting the Project

Subjects

Conference Talks