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MortenBlorstad/README.md

Hi there 👋

I'm Morten Blørstad, a PhD research fellow in machine learning at the University of Bergen (UiB) and a data scientist at Visito.

🔭 Research Interests:

  • Probabilistic machine learning
  • Learning and reasoning under uncertainty
  • Stability in machine learning (learning theory)
  • Reinforcement learning

💡 I’m particularly interested in developing robust and adaptive learning algorithms motivated by application-specific problems.

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  1. StableTreeUpdates StableTreeUpdates Public

    Python

  2. ALjone/INF368-Final-Project ALjone/INF368-Final-Project Public

    Final project for INF368

    Jupyter Notebook 2

  3. Neuroevolution-of-Neural-Networks-From-Scratch-in-R Neuroevolution-of-Neural-Networks-From-Scratch-in-R Public

    Use neuroevolution to find an agent that can successfully classify animals. Create an population of neural networks and evaluates how well they perform. The best neural networks are selected for re…

    R

  4. An_Genetic_Algoritm_Example_Using_Shiny An_Genetic_Algoritm_Example_Using_Shiny Public

    An genetic game of sorts. A simple genetic algorithm that learns the player's preferance when it comes to size and color

    R

  5. Sudoku-Solver Sudoku-Solver Public

    A sudoku solver algorithm using backtracking. The sudoku board is solved by assigning numbers to empty cells, one by one. Given the rules of sudoku, we check whether the number can be placed in the…

    R

  6. Minesweeper Minesweeper Public

    The game Minesweeper created in R

    R