In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Other common machine learning regression algorithms (short of neural networks) include Naive Bayes, Decision Tree, K-Nearest Neighbors, LVQ (Learning Vector Quantization), LARS Lasso, Elastic Net ...

The Department of Industrial Engineering and Management Sciences is a leader in the science of decision-making in complex environments through innovation in algorithms, computation, and mathematical ...

The model uses parameters built in the algorithm to form patterns for its decision-making process. When new or additional data becomes available, ... Example of Machine Learning .

Don't take results from machine learning algorithms at face value. Ask what information isn't available. What subgroups haven't been prioritized? Who is on the research team?

For decision tree classification, the variable to predict is most often ordinal-encoded (0, 1, 2 and so on) The numeric predictors do not need to be normalized to all the same range -- typically 0.0 ...

Apple CEO Tim Cook has cited a way that Apple uses machine learning to increase how long a battery lasts as his primary example. —hardmaru (@hardmaru) December 6, 2016 ...

For example, it might be known that the end users understand decision trees. A proxy for explanation quality may be the depth of the tree: shorter trees would get a better explainability score.