Supervised_Unsupervised_. Learnings.pptx

PPT on supervised and supervised the learning

1. Supervised and Unsupervised Learning Understanding Types of Machine Learning

2. Introduction to Machine Learning Machine Learning is a subset of Artificial Intelligence that enables systems to learn and improve from experience without being explicitly programmed. Two major types: • Supervised Learning • Unsupervised Learning

3. Supervised Learning • Uses labeled data to train the model. • Model learns the mapping between input and output. • Example: Predicting house prices based on features.

4. Applications of Supervised Learning • Spam Email Detection • Weather Forecasting • Stock Market Prediction • Disease Diagnosis in Healthcare

5. Unsupervised Learning • Works with unlabeled data. • Finds hidden patterns or structures. • Example: Grouping customers based on purchasing behavior.

6. Applications of Unsupervised Learning • Market Segmentation • Recommendation Systems • Fraud Detection • Customer Behavior Analysis

7. Comparison of Supervised vs Unsupervised Supervised Learning: • Requires labeled data • Predicts outcomes Unsupervised Learning: • Works with unlabeled data • Finds hidden structures and patterns