- CFA Exams
- 2025 Level II
- Topic 1. Quantitative Methods
- Learning Module 6. Machine Learning
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Learning Outcome Statements PDF Download
| 1. What is Machine Learning? describe supervised machine learning, unsupervised machine learning, and deep learning; | |
| 2. Overview of Evaluating ML Algorithm Performance describe overfitting and identify methods of addressing it; | |
| 3. Supervised Machine Learning Algorithms 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 Algorithms 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 Learning describe neural networks, deep learning nets, and reinforcement learning. |
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