Sökning: "Machine Learning Barriers"

Visar resultat 1 - 5 av 27 uppsatser innehållade orden Machine Learning Barriers.

  1. 1. Risk analysis of implementing Machine Learning in construction projects

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Aki Roy; [2024]
    Nyckelord :Construction; Machine Learning; Unstructured Data; Image Processing; Text Processing; Project Analysis; Data Management; Risk Identification;

    Sammanfattning : Machine Learning has significantly influenced development across domains by leveraging incoming and existing data. However, despite its advancements, criticism persists regarding its failure to adequately address real-world problems, with the construction domain being an example. LÄS MER

  3. 2. AI for innovators - An exploratory study on the application of Artificial Intelligence as a supportive tool in the innovation process

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Mauro Campus; [2023-07-19]
    Nyckelord :Innovation; Innovation Drivers; Stages of Innovation; Innovation Models; Innovation Process; Artificial Intelligence; Industry 4.0 and Artificial Intelligence; Machine Learning; Deep Learning; Generative AI; Artificial Intelligence in Business; Artificial Intelligence and Innovation;

    Sammanfattning : The technological evolution we are experiencing nowadays has impacted many businesses and industries. In this sense, one of the most influential technologies is certainly Artificial Intelligence, which especially in recent months has been at the centre of numerous debates. LÄS MER

  4. 3. Mortality Prediction in Intensive Care Units by Utilizing the MIMIC-IV Clinical Database

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

    Författare :Raymond Wang; [2022]
    Nyckelord :Clinical Data Science; Mortality Prediction; MIMIC-IV; Machine Learning; NLP; ICU;

    Sammanfattning : Machine learning has the potential of significantly improving daily operations in health care institutions but many persistent barriers are to be faced in order to ensure its wider acceptance. Among such obstacles are the accuracy and reliability. LÄS MER

  5. 4. Application of transfer learning in text classification for small and medium sized web-based enterprises

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

    Författare :Victor Oldensand; Simon Haglund; [2022]
    Nyckelord :;

    Sammanfattning : In recent years, the open sourcing of pretrained machine learning models through platforms like Hugging Face has reduced the barriers to entry in big data analysis. This thesis studies the use case of such models for web-based organisations, with a focus on text classification. LÄS MER

  7. 5. Capabilities and Processes to Mitigate Risks Associated with Machine Learning in Credit Scoring Systems : A Case Study at a Financial Technology Firm

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

    Författare :Jakob Pehrson; Sara Lindstrand; [2022]
    Nyckelord :Trustworthy AI; Credit Scoring; Digital Capabilities; Fintech; Etisk AI; Kreditvärdighet; Digitala Förmågor; Fintech;

    Sammanfattning : Artificial intelligence and machine learning has become an important part of society and today businesses compete in a new digital environment. However, scholars and regulators are concerned with these technologies' societal impact as their use does not come without risks, such as those stemming from transparency and accountability issues. LÄS MER