machine learning

7. A _______decision tree, in which all of the leaves are classes, can be mapped into a set of rules, with each leaf of the tree corresponding to a rule
9. a process, like data mining, which employs deep neural network architectures, which are particular types of machine learning algorithms.
10. ________tree is also called a classification tree
11. Supervised learning models use external feedback to learning functions that map inputs to output -------
12. this works by preventing recursive splitting on attributes that are not clearly relevant
13. what does Machine learning concentrates on learning
14. are a collection of units that An Artificial neural networking is based on .
15. Learning a continuous function
16. : Reinforcement learning models use dynamics _________ different types of knowledge.

1. This type of AI learning model is based on inferring a general rule from datasets of input-output pairs
2. this is used for analyzing data which does not include pre-labeled classes, or even a class attribute at all
3. a view of probability aims to quantify uncertainty, and updates a given probability as additional evidence is available.
4. Artificial neural networks are ____________models directly inspired by, and partially modeled on biological neural networks
5. a machine learning paradigm where multiple learners are trained to solve the same problem.
6. takes as input an object or situation described by a set of attributes
8. the task of taking a set of pre-classified instances as input, deciding which attributes are best to split on, splitting the dataset, and recursing on the resulting split datasets until all training instances are categorized.