Essays about: "Cross validation"
Showing result 21 - 25 of 304 essays containing the words Cross validation.
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21. Customer engagement and co-creation in crowdfunding : Multi-case study on tabletop Kickstarter campaigns
University essay from Jönköping University/IHH, FöretagsekonomiAbstract : Background: Crowdfunding is a new form of financing that has gained popularity among entrepreneurs seeking to fund innovative and creative projects. It involves collecting small amounts of money from a large number of potential backers through specialised websites. READ MORE
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22. 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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23. Toward an application of machine learning for predicting foreign trade in services – a pilot study for Statistics Sweden
University essay from Stockholms universitet/Statistiska institutionenAbstract : The objective of this thesis is to investigate the possibility of using machine learn- ing at Statistics Sweden within the Foreign Trade in Services (FTS) statistic, to predict the likelihood of a unit to conduct foreign trade in services. The FTS survey is a sample survey, for which there is no natural frame to sample from. READ MORE
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24. Evaluating Membership Inference Attacks on Synthetic Data Generated With Formal Privacy Guarantees
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Synthetic data generation using generative machine learning has been increasinglypublicized as a new tool for data anonymization. It promises to offer privacy whilemaintaining the statistical properties of the original dataset. This study focuses on the riskswith synthetic data by looking mainly at two aspects: privacy and utility. READ MORE
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25. Data-Driven Success in Infrastructure Megaprojects. : Leveraging Machine Learning and Expert Insights for Enhanced Prediction and Efficiency
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This Master's thesis utilizes random forest and leave-one-out cross-validation to predict the success of megaprojects involving infrastructure. The goal was to enhance the efficiency of the design and engineering phase of the infrastructure and construction industries. READ MORE