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Machine Learning With Multi-Class Regression And Neural Networks: Analysis And Visualization Of Crime Data In Seattle, Erkin David George Jun 2019

Machine Learning With Multi-Class Regression And Neural Networks: Analysis And Visualization Of Crime Data In Seattle, Erkin David George

Honors Projects

This article examines the implications of machine learning algorithms and models, and the significance of their construction when investigating criminal data. It uses machine learning models and tools to store, clean and analyze data that is fed into a machine learning model. This model is then compared to another model to test for accuracy, biases and patterns that are detected in between the experiments. The data was collected from data.seattle.gov and was published by the City of Seattle Data Portal and was accessed on September 17, 2018. This research will be looking into how machine learning models can be used …


Neuroimaging And Jury Decision Making: In Defense Of The Defense?, Alana A. Snyder Jan 2016

Neuroimaging And Jury Decision Making: In Defense Of The Defense?, Alana A. Snyder

Williams Honors College, Honors Research Projects

Neurobiological evidence in the form of brain scans (MRI images, PET images, etc.) is being introduced with increasing frequency in the courtroom as potentially mitigating evidence in criminal cases as part of an attempt to show regions of neurological abnormality affecting a defendant’s decision-making or emotional control. Empirical studies have shown two biases associated with the presentation of such evidence. One of these biases resides in that laypeople’s interpretation of such evidence may be weighted too heavily towards scientific fact – as is DNA evidence – rather than an association between a specific crime, and a brain region and its …