- CFA Exams
- Dec. 2020 Level 2
- Study Session 3. Quantitative Methods II
- Reading 7. Machine Learning

### Reading 7. Machine Learning

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### Learning Outcome Statements

Reading 7. Machine Learning | |
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1. What is machine learning?a. distinguish between supervised machine learning, unsupervised machine learning, and deep learning; | |

2. Overview of evaluating ML algorithm performanceb. describe overfitting and identify methods of addressing it; | |

3. Supervised machine learning algorithmsc. describe supervised machine learning algorithms - including penalized regression, support vector machine, k-nearest neighbor, classification and regression tree, ensemble learning, and random forest - and determine the problems for which they are best suited; | |

4. Unsupervised machine learning algorithmsd. describe unsupervised machine learning algorithms - including principal components analysis, k-means clustering, and hierarchical clustering - and determine the problems for which they are best suited; | |

5. Neural networks, deep learning nets, and reinforcement learninge. describe neural networks, deep learning nets, and reinforcement learning. |