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- 2019
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Mark
Utilizing Machine Learning for Trading Algorithms Exploiting the Time Series Momentum Anomaly
- Master (Two yrs)
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Mark
Classification of GPU rendering errors with Artificial Neural Networks
(2019) In Master's Theses in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Twitter bot detection & categorization - a comparative study of machine learning methods
- Master (One yr)
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Mark
Hierarchical Clustering of Time Series using Gaussian Mixture Models and Variational Autoencoders
- Master (Two yrs)
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Mark
Potentialen med smartare RPA-robotar: Innebär smartare RPA-robotar till följd av introduceringen av Machine Learning att dess roll och uppgifter i verksamhetsprocesser förändras.
- Bach. Degree
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Mark
Relevance in the eye of the beholder
- Master (Two yrs)
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Mark
Evaluation of Parking Space Detection From Aerial Imagery Using Convolutional Neural Networks
(2019) In Master's Theses in Mathematical Sciences FMAM05 20182
Mathematics (Faculty of Engineering)- Master (Two yrs)
-
Mark
Will You Stay or Will You Go? Churn Prediction for an App-Delivered International Calling Service
- Master (Two yrs)
- 2018
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Mark
Prediction of Conversion Rates in Online Marketing - A study of the application of logistic regression for predicting conversion rates in online marketing.
- Master (Two yrs)
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Mark
Investigating Machine Learning Clustering Methods to Replicate the Human Idea of Structure to Documents
(2018) In Master's Theses in Mathematical Sciences FMAM05 20181
Mathematics (Faculty of Engineering)- Master (Two yrs)