Essays about: "Logistisk Regression"

Showing result 1 - 5 of 103 essays containing the words Logistisk Regression.

  1. 1. Effects of COVID-19 on temporal urban diversity : A quantitative study using mobile phone data as a proxy for human mobility patterns

    University essay from Uppsala universitet/Kulturgeografiska institutionen

    Author : Feliks Sjöblom; [2021]
    Keywords : COVID-19; urban diversity; human mobility; mobile phone data; logistic regression; COVID-19; urban mångfald; mänsklig mobilitet; mobiltelefondata; logistisk regression;

    Abstract : The present paper examines possible changes in temporal urban diversity caused by the COVID-19 pandemic in Stockholm and Uppsala metropolitan areas. In addition to general changes in diversity, potential differences of diversity levels at locations with varying socioeconomic characteristics are examined. READ MORE

  2. 2. Support Unit Classification through Supervised Machine Learning

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS); KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jakob Pehrson; Sara Lindstrand; [2020]
    Keywords : Chatbot; customer satisfaction; productivity; and neural networks; Chatbot; kundnöjdhet; produktivitet; och neurala nätverk;

    Abstract : The purpose of this article is to evaluate the impact a supervised machine learning classification model can have on the process of internal customer support within a large digitized company. Chatbots are becoming a frequently used utility among digital services, though the true general impact is not always clear. READ MORE

  3. 3. A Deep Learning Approach to Predicting the Length of Stay of Newborns in the Neonatal Intensive Care Unit

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Bas Theodoor Straathof; [2020]
    Keywords : Deep Neural Networks; Electronic Health Records; Length-of-Stay Prediction; Multivariate Time Series Classification; Djupa Neurala Nätverk; Elektroniska Hälsoregister; Klassificering av Multivariat Tidsserie; Förutsägelse av Vistelsetid;

    Abstract : Recent advancements in machine learning and the widespread adoption of electronic healthrecords have enabled breakthroughs for several predictive modelling tasks in health care. One such task that has seen considerable improvements brought by deep neural networks is length of stay (LOS) prediction, in which research has mainly focused on adult patients in the intensive care unit. READ MORE

  4. 4. Modelling default probabilities: The classical vs. machine learning approach

    University essay from KTH/Matematisk statistik; KTH/Matematisk statistik

    Author : Filip Jovanovic; Paul Singh; [2020]
    Keywords : Machine learning; gradient boosting; pd-modelling; CatBoost; Random Forest; Logistic Regression; Maskininlärning; gradient boosting; fallissemangmodellering; CatBoost; Random Forest; Logistisk Regression;

    Abstract : Fintech companies that offer Buy Now, Pay Later products are heavily dependent on accurate default probability models. This is since the fintech companies bear the risk of customers not fulfilling their obligations. READ MORE

  5. 5. Contextualising government reports using Named Entity Recognition

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS); KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Almir Aljic; Theodor Kraft; [2020]
    Keywords : Machine learning; Natural Language processing; Logistic Regression; BERT;

    Abstract : The science of making a computer understand text and process it, natural language processing, is a topic of great interest among researchers. This study aims to further that research by comparing the BERT algorithm and classic logistic regression when identifying names of public organizations. READ MORE