Essays about: "code metrics"
Showing result 1 - 5 of 140 essays containing the words code metrics.
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1. Low-No code Platforms for Predictive Analytics
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : In the data-driven landscape of modern business, predictive analytics plays a pivotal role inanticipating and mitigating customer churn—a critical challenge for organizations. However, thetraditional complexities of machine learning hinder accessibility for decision-makers. READ MORE
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2. How Venture Capital Could Use Large Language Models to Screen Sustainability Impact Startups
University essay from Lunds universitet/Miljö- och energisystemAbstract : This study investigates the potential of large language models (LLMs), such as ChatGPT, to aid venture capitalists in the screening of startups that maximize sustainability impact. To determine the scope that maximizes impact for venture capitalists' and to identify effective screening criteria, the study utilized theoretical research and interviews. READ MORE
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3. Mitigating Unintended Bias in Toxic Comment Detection using Entropy-based Attention Regularization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The proliferation of hate speech is a growing challenge for social media platforms, as toxic online comments can have dangerous consequences also in real life. There is a need for tools that can automatically and reliably detect hateful comments, and deep learning models have proven effective in solving this issue. READ MORE
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4. Meaningful Metrics in Software Engineering : The Value and Risks of Using Repository Metrics in a Company
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : Many large companies use various business intelligence solutions to filter, process, and visualize their software source code repository data. These tools focus on improving continuous integration and are used to get insights about people, products, and projects in the organization. READ MORE
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5. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. READ MORE