What is Machine Learning? — Tutorial

Machine Learning Defined

Machine Learning is a subset of AI that enables systems to learn and improve from experience without being explicitly programmed. Instead of following rigid rules, ML models identify patterns in data and make predictions or decisions.

Types of Machine Learning

• Supervised Learning: Learning from labeled data (e.g., image classification) • Unsupervised Learning: Finding patterns in unlabeled data (e.g., customer segmentation) • Reinforcement Learning: Learning through trial and error with rewards (e.g., game AI)

The ML Workflow

1. Collect Data: Gather relevant training data 2. Prepare Data: Clean and format the data 3. Choose Model: Select appropriate algorithm 4. Train Model: Feed data to the model 5. Evaluate: Test model accuracy 6. Deploy: Use model in production

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