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Spis treści

Machine Learning with R. Expert techniques for predictive modeling to solve all your data analysis problems - Second Edition eBook -- spis treści

• 1. Introducing Machine Learning
• 2. Managing and Understanding Data
• 3. Lazy Learning: Classification using Nearest Neighbors
• 4. Probabilistic Learning: Classification using Naïve Bayes
• 5. Divide and Conquer: Classification using Trees and Rules
• 6. Forecasting Numeric Data: Regression Methods
• 7. Black Box Methods: Neural Networks and Support Vector Machines
• 8. Finding Patterns: Market Basket Analysis Using Association Rules
• 9. Finding Groups of Data: Clustering with k-means
• 10. Evaluating Model Performance
• 11. Improving Model Performance
• 12. Specialized Machine Learning Topics