"Laskennallisen suurten tietoaineistojen analysoinnin maisterikoulutus, FM (engl) - Master's Degree Programme in Computational Big Data Analytics" - Selaus Tutkinto-ohjelman ja opintosuunnan mukaanOpinnäytteet - ylempi korkeakoulututkinto

Viitteet 1-7 / 7

    • Bayesian switching model for forecasting GDP growth rates 

      Mahosenaho, Mika (2020)
      Pro gradu -tutkielma
      The forecast properties of econometric models for gross domestic product (GDP) have been of great interest since Nelson (1972) criticized large-scale macroeconometric models. Various approaches have been proposed, yet ...

    • Comparison of machine learning approaches for classification of invoices 

      Khan, Amna (2020)
      Pro gradu -tutkielma
      Machine learning has become one of the leading sciences governing modern world. Various disciplines specifically neural networks have recently gained a lot of attention due to its widespread applications. With the recent ...

    • Data Vault 2.0 Automation Solutions for Commercial Use 

      Jenni, Laukkanen (2020)
      Pro gradu -tutkielma
      As the amount of data and the need for its processing and storage have increased, methods for its management and reporting have been intensely developed. However, these methods require a lot of skills, time, and manual ...

    • Deep Learning: An Overview of Convolutional Neural Network(CNN) 

      Aziz, Irfan (2020)
      Pro gradu -tutkielma
      In the last two decades, deep learning, an area of machine learning has made exponential progress and breakthroughs. Currently, it is used in many devices and machines and is becoming more and more common in our everyday ...

    • Fairness in Variational Autoencoders Recommenders 

      Imtiaz, Waleed (2020)
      Pro gradu -tutkielma
      Recommender systems have become increasingly relevant since big giants like Amazon, Netflix, and many other web services have started to enhance user’s experience based on recommendations. However, implementing state of ...

    • New Statistical Tools For Modeling Children's Body Mass Index 

      Juntunen, Janni (2020)
      Pro gradu -tutkielma
      Overweightness and obesity among children have been increased considerably in the last decades. Thus, children’s Body Mass Index (BMI) curves have been examined in order to identify the children with a risk of obesity. For ...

    • White Matter Hyperintensity and Multi-region Brain MRI Segmentation Using Convolutional Neural Network 

      Gong, Jin (2020)
      Pro gradu -tutkielma
      Accurate segmentation of WMH (white matter hyperintensity) from the magnetic resonance image is a prerequisite for many precise medical procedures, especially for the diagnosis of vascular dementia. Brain segmentation has ...