Set 6

2. A model that can neither model the training data nor generalize to new data
3. A toolkit from open AI for developing and comparing reinforcement learning algorithms
4. A multi-layer perceptron is called
7. The probability that doing one thing has an impact on another thing
10. A probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks

1. Which loss function would fit best in a categorical (discrete) supervised learning
5. The set of points above a function curve, can be used to determine if the function is convex
6. A scaling technique in which values are shifted and rescaled so that they end up ranging between 0 and 1
8. A learning method in which generalization of the training data is delayed until a query is made to the system
9. A function that compares the target and predicted output values