Sökning: "Maskininl¨arning"

Hittade 3 uppsatser innehållade ordet Maskininl¨arning.

  1. 1. Personalizing the post-purchase experience in online sales using machine learning.

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Nganga Kamau; Dylan Dehoky; [2021]
    Nyckelord :Personalization; Upselling; Optimization; Machine learning; Binary classification; Gra-dient boosting; Deep learning; Supervised learning; Imbalanced data; Personifiering; Merf¨ors¨aljning; Optimering; Maskininl¨arning; Bin¨ar klassificering; Gra-dient boosting; Djupinl¨arning; ¨Overvakat l¨arande; Obalanserad data.;

    Sammanfattning : Advances in machine learning, together with an abundance of available data has lead to an explosion in personalized offerings and being able to predict what consumers want, and need without them having to ask for it. During the last decade, it has become a multi billion dollar industry, and a capability upon many of the leading tech companies rely on in their business model. LÄS MER

  3. 2. Forecasting Service Metrics for Network Services

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Chen Tang; [2020]
    Nyckelord :Forecasting; Machine Learning; Time Series Analysis; Prognoser; maskininl¨arning; analys av tidsserier;

    Sammanfattning : As the size and complexity of the internet increased dramatically in recent years,the burden of network service management also became heavier. The need foran intelligent way for data analysis and forecasting becomes urgent. The wideimplementation of machine learning and data analysis methods provides a newway to analyze large amounts of data. LÄS MER

  4. 3. Evaluation of system design strategies and supervised classification methods for fruit recognition in harvesting robots

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Gabriella Björk; [2017]
    Nyckelord :Supervised Machine Learning; Classification; Image Processing; Computer Vision; Support Vector Machine; k-Nearest Neighbor; Decision Tree; Harvesting Robot; Recognition System; Kinect v2; Maskininl¨arning; Klassifikation; Bildprocessering; Dataseende; Support Vector Machine; k-Nearest Neighbor; Decision Tree; Sk¨orderobot; Igenk¨anningssystem; Kinect v2;

    Sammanfattning : This master thesis project is carried out by one student at the Royal Institute of Technology in collaboration with Cybercom Group. The aim was to evaluate and compare system design strategies for fruit recognition in harvesting robots and the performance of supervised machine learning classification methods when applied to this specific task. LÄS MER