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| </title> | </title> | ||
| - | * [[http://bit.ly/theMLbook-Foreword|Foreword]] | + | * [[http://bit.ly/theMLbook-Preface|Preface]] |
| - [[http://bit.ly/theMLbook-Chapter-1|Introduction]] | - [[http://bit.ly/theMLbook-Chapter-1|Introduction]] | ||
| * What is Machine Learning | * What is Machine Learning | ||
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| * Area under the ROC Curve (AUC) | * Area under the ROC Curve (AUC) | ||
| * Hyperparameter Tuning | * Hyperparameter Tuning | ||
| + | * Cross-Validation | ||
| - [[http://bit.ly/theMLbook-Chapter-6|Neural Networks and Deep Learning]] | - [[http://bit.ly/theMLbook-Chapter-6|Neural Networks and Deep Learning]] | ||
| * Neural Networks | * Neural Networks | ||
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| * Handling Multiple Outputs | * Handling Multiple Outputs | ||
| * Transfer Learning | * Transfer Learning | ||
| - | - Unsupervised Learning | + | * Algorithmic Efficiency |
| + | - [[http://bit.ly/theMLbook-Chapter09|Unsupervised Learning]] | ||
| * Density Estimation | * Density Estimation | ||
| * Clustering | * Clustering | ||
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