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contents [2018/11/29 05:07] burkov |
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- | * [[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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* One-Shot Learning | * One-Shot Learning | ||
* Zero-Shot Learning | * Zero-Shot Learning | ||
- | - Advanced Practice | + | - [[http://bit.ly/theMLbook-Chapter-8|Advanced Practice]] |
* Handling Imbalanced Datasets | * Handling Imbalanced Datasets | ||
* Combining Models | * Combining Models | ||
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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 |