Essays about: "Multi-Class Classification"
Showing result 1 - 5 of 41 essays containing the words Multi-Class Classification.
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1. Information Extraction for Test Identification in Repair Reports in the Automotive Domain
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : The knowledge of tests conducted on a problematic vehicle is essential for enhancing the efficiency of mechanics. Therefore, identifying the tests performed in each repair case is of utmost importance. This thesis explores techniques for extracting data from unstructured repair reports to identify component tests. READ MORE
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2. Multi-Class Classification for Predicting Customer Satisfaction : Application of machine learning methods to predict customer satisfaction at IKEA
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Gaining a comprehensive understanding of the features that contribute to customer satisfaction after contact with IKEA’s Remote Customer Meeting Points (RCMPs) is essential for implementing effective remedial measures in the future. The aim of this project is to investigate if it is possible to find key features that influence customer satisfaction and to use these to predict customer satisfaction. READ MORE
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3. Machine Learning based Predictive Data Analytics for Embedded Test Systems
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. READ MORE
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4. Sentiment and Semantic Analysis and Urban Quality Inference using Machine Learning Algorithms
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Qualitative interviews are conducted by researchers to gain a deeper understanding of people’s opinions and perceptions about a specific topic. The analysis of such textual data is an iterative process and often time-consuming. READ MORE
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5. Federated Learning for Natural Language Processing using Transformers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The use of Machine Learning (ML) in business has increased significantly over the past years. Creating high quality and robust models requires a lot of data, which is at times infeasible to obtain. As more people are becoming concerned about their data being misused, data privacy is increasingly strengthened. READ MORE