Mathematical Statistics
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- 2019
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Mark
Convolutional Neural Network Emulators for DGVMs - A Supervised Machine Learning Approach to Big Data Processing
(
- Bach. Degree
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Mark
Hierarchical Clustering of Time Series using Gaussian Mixture Models and Variational Autoencoders
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- Master (Two yrs)
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Mark
Hopfield Model on Incomplete Graphs
(
- Bach. Degree
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Mark
Re-design and improvement of animal experiments, using Bayesian methods
(
- Master (Two yrs)
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Mark
An exploration in segmentation and statistical modeling of highway map data
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- Master (Two yrs)
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Mark
Modelling Intensive Care Unit Length of Stay and Mortality Using Artificial Neural Networks
(
- Master (Two yrs)
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Mark
ROI Calculation on Online Controlled Experiment
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- Master (Two yrs)
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Mark
Utilizing Machine Learning for Trading Algorithms Exploiting the Time Series Momentum Anomaly
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- Master (Two yrs)
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Mark
Unbiased pitch detection and phase estimation in entomological lidar
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- Master (Two yrs)
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Mark
Clustering and Anomaly Detection in Financial Trading Data
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- Master (Two yrs)