AI and ML Fundamentals Documentation

Welcome to the comprehensive AI and ML Fundamentals documentation. This guide starts from beginner level and progresses to advanced concepts, explaining concepts intuitively while reaching industry-level depth.

Topics Covered

Getting Started

• What is Artificial Intelligence?
• What is Machine Learning?
• Artificial Intelligence vs Machine Learning
• A Brief History of Artificial Intelligence
• A Brief History of Machine Learning

Key Concepts

• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• Deep Learning Intro
• Neural Networks

Machine Learning

• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forests
• Support Vector Machines

Deep Learning

• Convolutional Neural Networks
• Recurrent Neural Networks
• Long Short-Term Memory
• Generative Adversarial Networks
• Transformers

Model Evaluation

• Metrics for Evaluation
• Cross-Validation
• Regularization Techniques
• Ensemble Methods
• Model Selection

Real World Applications

• Computer Vision
• Natural Language Processing
• Predictive Maintenance
• Healthcare Applications
• Finance Applications

Best Practices

• Data Preprocessing
• Model Deployment
• Model Monitoring
• Explainable AI
• Future of AI