22.1. Radial Basis Function (RBF) Kernel
Detailed information about the Radial Basis Function (RBF) Kernel
30. Extreme Gradient Boosting (XGBoost)
Details information about the XGBoost
29. Gradient Boosting
Details information about the Gradient Boosting
28. Boosting
Details information about the Boosting
27. Sequential Learning
Details information about the Sequential Learning
26. Bagging
Details information about the Bagging
25. Voting
Details information about the Voting
24.1 Distinguishing between ensembling, hybrid, mixing, and mutating
Details information about the Distinguishing between ensembling, hybrid, mixing, and mutating
24. Ensemble Learning
Details information about the Ensemble Learning
23. Weak and Strong Learners
Details information about the Weak and Strong Learners
22. Kernel Support Vector Machine
Details information about the Kernel Support Vector Machine
21. Soft-max Support Vector Machine
Details information about the Soft-max Support Vector Machine
20. Support Vector Machine
Details information about the Support Vector Machine
19. Likelihood Function and Maximum Likelihood Estimation
Details information about the Likelihood Function and Maximum Likelihood Estimation
18. Decision Tree
Details information about the Decision Tree
17. Perceptron Learning Algorithms
Details information about the Perceptron Learning Algorithms
16. Sampling Methods
Details information about the Sampling Methods
15. Sigmoid Function
Details information about the Sigmoid Function
14. Evaluation Metrics
Details information about the Evaluation Metrics
13. Noise and Outlier
Details information about the Noise and Outlier concept
