Essays about: "data pipeline"
Showing result 21 - 25 of 376 essays containing the words data pipeline.
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21. Evaluation of Rust Codebases Using Public Information
University essay from Lunds universitet/Institutionen för datavetenskapAbstract : Understanding the content of a software project is a complex endeavour. While the Rust programming language promises developers a safer programming language, a program may still include vulnerable code through its dependencies. READ MORE
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22. Big Data Visualization in Extended Reality
University essay from Lunds universitet/Institutionen för designvetenskaperAbstract : Effectively utilizing Big Data can be a challenge for many companies. Due to its volume, many aspects of the data processing pipeline such as storage, retrieval and usage may quickly become problematic. For example, it could be difficult identifying the relevant metrics when analyzing a service failure. READ MORE
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23. The Production and Evaluation of Production Pipelines for Video Games
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Every project uses some form of production pipeline, whether on purpose or not. It is a broad concept best defined as the management of the flow of data and the data itself. This study was made with the intention of finding out what makes a good iterative pipeline. READ MORE
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24. Self-learning for 3D segmentation of medical images from single and few-slice annotation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Training deep-learning networks to segment a particular region of interest (ROI) in 3D medical acquisitions (also called volumes) usually requires annotating a lot of data upstream because of the predominant fully supervised nature of the existing stateof-the-art models. To alleviate this annotation burden for medical experts and the associated cost, leveraging self-learning models, whose strength lies in their ability to be trained with unlabeled data, is a natural and straightforward approach. READ MORE
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25. Investigate the challenges and opportunities of MLOps
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : MLOps is becoming a widespread practice in modern machine learning and data science. The word ”MLOps” combines machine learning technology and business operation process. Many business companies are applying machine learning techniques to improve their business targets and increase their profits. READ MORE