Essays about: "Statistisk inlärning"

Showing result 6 - 10 of 23 essays containing the words Statistisk inlärning.

  1. 6. Comparative Study of tools for Statistical Learning : Comparing the performance of data science languages and frameworks

    University essay from KTH/Datavetenskap

    Author : Alexander Westman; Adam Henriksson; [2022]
    Keywords : ;

    Abstract : Statistical learning is a sub-field of computer science that studies algorithms which try to solve the statistical inference problem of finding a predictive function based on data. This is used in fields such as finance, computer vision, and bioinformatics. READ MORE

  3. 7. Modeling Success Factors for Start-ups in Western Europe through a Statistical Learning Approach

    University essay from KTH/Industriell ekonomi och organisation (Inst.)

    Author : Adib Kamal; Kenan Sabani; [2021]
    Keywords : Machine learning; KNN; Random Forest; Logistic Regression; Start-up; Success; Maskininlärning; KNN; Random Forest; Logistic Regression; Start-up; Framgångsfaktorer;

    Abstract : The purpose of this thesis was to use a quantitative method to expand on previous research in the field of start-up success prediction. This was accomplished by including more criteria in the study, which was made possible by the Crunchbase database, which is the largest available information source for start-ups. READ MORE

  4. 8. BNPL Probability of Default Modeling Including Macroeconomic Factors: A Supervised Learning Approach

    University essay from KTH/Matematisk statistik

    Author : Patrik Hardin; Robert Ingre; [2021]
    Keywords : Buy Now Pay Later; IFRS 9; Probability of Default; Expected Credit Loss; Macroeconomic factors; Machine Learning; Artificial Neural Network; XGBoost;

    Abstract : In recent years, the Buy Now Pay Later (BNPL) consumer credit industry associated with e-commerce has been rapidly emerging as an alternative to credit cards and traditional consumer credit products. In parallel, the regulation IFRS 9 was introduced in 2018 requiring creditors to become more proactive in forecasting their Expected Credit Losses and include the impact of macroeconomic factors. READ MORE

  5. 9. Supervised Learning for Prediction of Tumour Mutational Burden

    University essay from KTH/Matematisk statistik

    Author : Joanna Hargell; [2021]
    Keywords : Supervised Learning; Tumour Mutational Burden; Generalized Linear Models; Decision trees; Support Vector Machines; statistik; tillämpad matematik; statistisk inlärning; mutationsbörda;

    Abstract : Tumour Mutational Burden is a promising biomarker to predict response to immunotherapy. In this thesis, statistical methods of supervised learning were used to predict TMB: GLM, Decision Trees and SVM. READ MORE

  6. 10. Machine Learning Based Intraday Calibration of End of Day Implied Volatility Surfaces

    University essay from KTH/Matematisk statistik

    Author : Christopher Herron; André Zachrisson; [2020]
    Keywords : Applied Mathematics; Machine Learning; Statistics; Gaussian Process; Neural Network; Options; Volatility; Implied Volatility Surface; Black Scholes; Tillämpad matematik; Maskininlärning; Statistik; Gaussisk Process; Neurala Nätverk; Optioner; Volatilitet; Implicit Volatilitetsyta; Black Scholes;

    Abstract : The implied volatility surface plays an important role for Front office and Risk Management functions at Nasdaq and other financial institutions which require mark-to-market of derivative books intraday in order to properly value their instruments and measure risk in trading activities. Based on the aforementioned business needs, being able to calibrate an end of day implied volatility surface based on new market information is a sought after trait. READ MORE