User:Dlzhangxg/Books/Machine Learning-01-Introduction and Main Principles

Machine Learning-01-Introduction and Main Principles

 * Machine learning
 * Data analysis
 * Occam's razor
 * Curse of dimensionality
 * No free lunch theorem
 * Accuracy paradox
 * Overfitting
 * Regularization (mathematics)
 * Inductive bias
 * Data dredging
 * Ugly duckling theorem
 * Uncertain data