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Which algorithm was considered state of the art before Deep Learning Neural Nets?
Decision trees have to be coded by humans
You can apply ensemble approaches to all machine learning methods.
What are Random Forests?
What are Bayesian Classifiers?
Bayesian Classifiers are really slow
What are applications of Nearest Neighbor Approaches? Select all that apply.
The K in K-Nearest Neighbors stands for “Knowledge”
Match the ML algorithm term to the definition
A machine learning algorithm used primarily for classification in which the machine aims to find the classification based on the nearest neighbors in the data set
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A machine learning algorithm that classifies data into different categories with branches and leaves
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Machine learning algorithmic approach that uses the constructing and combination of multiple, randomly generated decision trees to generate a machine learning model
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A method that uses the combination of results of multiple different models trained on the same data to achieve better results
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