Sökning: "Statistisk inlärning"

Visar resultat 6 - 10 av 28 uppsatser innehållade orden Statistisk inlärning.

1. 6. Association analyses of forehead hair whorls, behaviour, and chromosome regions in Standardbred Trotters

   Uppsats för yrkesexamina på avancerad nivå, SLU/Dept. of Animal Breeding and Genetics

   Författare :Victoria Saxe; [2022]
   Nyckelord :behaviour; temperament trait; tricoglyph; hair whorl; swirl; genetics; horse; Standardbred trotter; genotype; phenotype;

   Sammanfattning : Introduction: In horse breeding, athletic skills have been in focus and certain behaviour types have been found to be important for competition. Behaviour is heritable but is also affected by the environment. Just like humans, animals have their own personality and behaviour-traits. LÄS MER

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

   Kandidat-uppsats, KTH/Datavetenskap

   Författare :Alexander Westman; Adam Henriksson; [2022]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER

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

   Master-uppsats, KTH/Industriell ekonomi och organisation (Inst.)

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

   Sammanfattning : 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. LÄS MER

5. 9. BNPL Probability of Default Modeling Including Macroeconomic Factors: A Supervised Learning Approach

   Master-uppsats, KTH/Matematisk statistik

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

   Sammanfattning : 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. LÄS MER

7. 10. Supervised Learning for Prediction of Tumour Mutational Burden

   Master-uppsats, KTH/Matematisk statistik

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

   Sammanfattning : 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. LÄS MER