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The goal of this project is to develop a deeper understanding of how machine learning pertains to the business world and how business professionals can capitalize on its capabilities. It explores the end-to-end process of integrating a machine and the tradeoffs and obstacles to consider. This topic is extremely pertinent today as the advent of big data increases and the use of machine learning and artificial intelligence is expanding across industries and functional roles. The approach I took was to expand on a project I championed as a Microsoft intern where I facilitated the integration of a forecasting machine learning model firsthand into the business. I supplement my findings from the experience with research on machine learning as a disruptive technology. This paper will not delve into the technical aspects of coding a machine model, but rather provide a holistic overview of developing the model from a business perspective. My findings show that, while the advantages of machine learning are large and widespread, a lack of visibility and transparency into the algorithms behind machine learning, the necessity for large amounts of data, and the overall complexity of creating accurate models are all tradeoffs to consider when deciding whether or not machine learning is suitable for a certain objective. The results of this paper are important in order to increase the understanding of any business professional on the capabilities and obstacles of integrating machine learning into their business operations.
A research paper examining how the variance in state labor laws for independent contractors is causing uncertainty about the rights they are entitled to.
This honors thesis project focuses upon the PEMS EMPRA program. The research question that the project seeks to answer is the following: what are the current recruiting, training, and quality control practices of the PEMS EMPRA program and how can these said practices be improved? The interest in this topic lies in providing an insightful, multi-faceted view of the day-to-day operations of a medical scribe program. The main goals of this project are to give a complete assessment of the present recruitment, training, and quality control practices of PEMS as well as provide insights and suggestions for improving the program as a whole.
The purpose of this paper is to make the beyond a reasonable doubt standard in criminal trials more comprehensible for the modern juror while also increasing the modern juror’s motivation and ability to apply this standard consistent with trial proceedings. The major problems addressed include why the beyond a reasonable doubt standard is so difficult for modern jurors to understand in addition to why modern jurors lack both the motivation and ability to perform their integral function in criminal trials due to their enforced passive role. This paper traces the origins of the modern jury, delving into the centuries-long transition of the jury from an active to passive function, and the impacts historical change has had on the modern juror’s role in criminal trials. It also looks to define the beyond a reasonable doubt standard in terms of case law and pattern jury instructions and through contrast with its constituent lower civil standards of evidentiary certainty. The solution posed to remedy the aforementioned issues rests on a unique application of metaphor and imagery that can be implemented in lawyers’ rhetorical methods to instruct jurors on their paramount function in modern criminal suits.