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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 ... through innovation in algorithms, computation, and mathematical modeling. As ...
It is no doubt that everyone has come in contact with Machine Learning ... is a type of computer algorithm which relies on a large amount of input data to make a future decision about a new ...
In the decision tree chapter, you will go through the ... but seeing under the hood of the machine learning algorithm is a rewarding experience. In many of the book’s chapters, you’ll use ...
Yet a lack of understanding about the limitations of both the data and the algorithms can lead to erroneous or unsupported conclusions. Given that machine learning in the health domain can have a ...
This report explores the applications of machine learning algorithms to police decision-making, specifically in relation to predictions of individuals’ proclivity for future crime. In particular, it ...
This project aimed to critically assess the use of machine learning algorithms for policing ... regulatory and practical challenges around the use of algorithmic decision-support tools within policing ...
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