Machine learning and its type...........
- 1. Introduction to Machine Learning Machine learning enables systems to learn from data. A core part of data science and AI. Created by: Saurabh Pandey
- 2. What is Machine Learning? field of computer science that focuses on data-driven learning. ms improve their performance without being explicitly programmed. Created by: Saurabh Pandey
- 3. Types of Machine Learning - Supervised Learning - Unsupervised Learning - Reinforcement Learning Created by: Saurabh Pandey
- 4. Supervised Learning Learns from labeled data. Example: Predicting house prices based on previous sales. Created by: Saurabh Pandey
- 5. Unsupervised Learning Finds patterns in data without labels. Example: Customer segmentation. Created by: Saurabh Pandey
- 6. Reinforcement Learning Learns by interacting with the environment. Example: Game AI or self-driving cars. Created by: Saurabh Pandey
- 7. ML Workflow 1. Problem Definition 2. Data Collection 3. Data Preparation 4. Model Training 5. Evaluation 6. Deployment Created by: Saurabh Pandey
- 8. Applications of ML - Healthcare: Diagnosis systems - Finance: Fraud detection - Retail: Recommendation engines Created by: Saurabh Pandey
- 9. Challenges in ML - Data Quality - Overfitting and Underfitting - Model Interpretability Created by: Saurabh Pandey
- 10. Conclusion Machine learning is transforming industries. Future growth relies on ethical and effective use. Created by: Saurabh Pandey