Advanced

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Across
  1. 1. An unsupervised learning technique for reducing the dimensionality of data
  2. 5. The loss function that would fit best in a categorical supervised learning
  3. 7. Commonly used loss function for regression problems
  4. 8. A layer of CNN to reduce the dimensions of the feature maps
  5. 9. A decision boundary that differentiates the two classes in SVM
Down
  1. 2. A Neural Network model whose goal is to predict the input itself through a bottleneck
  2. 3. An ensemble ML algorithm that learns how to best combine the predictions from multiple well-performing ML models
  3. 4. A learning method in which generalization of the training data is delayed until a query is made to the system
  4. 6. Commonly used loss function for classification problems