Machine Learning

Welcome to the Machine Learning section. Here you will find notes and tutorials on various ML algorithms and techniques.

What is Machine Learning

Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on building systems that can learn from and make decisions based on data. It enables computers to improve their performance on tasks without being explicitly programmed.

Topics

• Types of Machine Learning
• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• NLP Fundamentals
• MLOps Introduction
• Model Deployment
• Dataset Curation
• Evaluation Metrics
• Model Distillation
• Synthetic Data Generation
• Federated Learning

Key Concepts

• Supervised Learning: Training models on labeled data.
• Unsupervised Learning: Finding patterns in unlabeled data.
• Reinforcement Learning: Learning through trial and error to maximize rewards.

Applications

• Predictive analytics
• Natural language processing
• Computer vision

Machine learning is at the core of many modern AI applications, driving innovation across industries.