Sökning: "learning from innovation"

Visar resultat 1 - 5 av 332 uppsatser innehållade orden learning from innovation.

  1. 1. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Alexander Florean; [2024]
    Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER

  2. 2. 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. 3. Perspektiv på digital relationskompetens : Analys av lärares strategier för att stödja utbildningsrelationer i digitala lärmiljöer

    Magister-uppsats, Umeå universitet/Pedagogiska institutionen

    Författare :Helena Bonnevie; [2024]
    Nyckelord :Relational competence; relational pedagogy; digital relational competence; digital learning environments; e-learning; online teaching; distance learning; Relationskompetens; relationell pedagogik; digital relationskompetens; digitala lärmiljöer; e-learning; distansundervisning;

    Sammanfattning : Studien syftar till att öka kunskapen om lärares digitala relationskompetens samt bidra till utveckling av praktik och teori inom relationell pedagogik i digitala lärmiljöer. I studien analyserades kvalitativa enkätsvar från 123 lärare och lärarstudenter i Sverige och Finland  angående hur de uppfattade att de kunde stödja relationer mellan lärare och elev i distansundervisning. LÄS MER

  4. 4. Designing for Learning in Enterprise Software - An explorative case study investigating admin user needs for learning, instruction, and information retrieval.

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Fredrik Horn; [2023-07-19]
    Nyckelord :Enterprise software; Employee Training; Admin Users; Learning; Instruction; Information retrieval; User-Centered Design; Innovation;

    Sammanfattning : Enterprise software plays a vital role in an organization's path to operational excellence and competitiveness. Whether or not the company is able to reap the rewards of the enterprise software depends largely on the extent to which the software is adopted effectively, meaning used with a high level of proficiency by its users. LÄS MER

  5. 5. 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