Sökning: "MLOps"

Visar resultat 1 - 5 av 11 uppsatser innehållade ordet MLOps.

  1. 1. Implementing End-to-End MLOps for Enhanced Steel Production

    M1-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Marcus Westin; Jacob Berggren; [2024]
    Nyckelord :MLOps; Azure ML; Machine Learning; Computer Science; Microsoft Azure; MLOps; Azure ML; Maskininlärning; Datavetenskap; Microsoft Azure;

    Sammanfattning : Steel production companies must utilize new technologies and innovations to stay ahead of a highly competitive market. Recently, there has been a focus on Industry 4.0, which involves the digitalization of production to integrate with newer technologies such as cloud solutions and the Internet of Things (IoT). LÄS MER

  3. 2. Accelerating university-industry collaborations with MLOps : A case study about the cooperation of Aimo and the Linnaeus University

    Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Nico Pistor; [2023]
    Nyckelord :MLOps; Machine Learning Operations; Development Process; Machine Learning; Artificial Intelligence; DevOps; Collaboration;

    Sammanfattning : Many developed machine learning models are not used in production applications as several challenges must be solved to develop and deploy ML models. Manual reimplementation and heterogeneous environments increase the effort required to develop an ML model or improve an existing one, considerably slowing down the overall process. LÄS MER

  4. 3. Investigate the challenges and opportunities of MLOps

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

    Författare :Ting Chun Yau; [2023]
    Nyckelord :Machine Learning Operations MLOps ; Continuous Integration; Continuous Delivery; Pipeline Automation; MLOps; Kontinuerlig integration; Kontinuerlig leverans; Pipeline Automation;

    Sammanfattning : MLOps is becoming a widespread practice in modern machine learning and data science. The word ”MLOps” combines machine learning technology and business operation process. Many business companies are applying machine learning techniques to improve their business targets and increase their profits. LÄS MER

  5. 4. Testing and Integration of Machine Learning Components for Image Classification : Testning och integration av machine learning komponenter förbildklassificering

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Ahmad Hanash; [2023]
    Nyckelord :MLOps; Safety; Testing; Robustness; Integration; Verification;

    Sammanfattning : As ML (Machine Learning) and deep neural networks get more used in many systems,the need to understand and test such systems becomes more actual. When designing a newsystem that contains ML models, the safety of this system becomes inevitably important. LÄS MER

  7. 5. MLOps paradigm - a game changer in Machine Learning Engineering?

    Master-uppsats, Uppsala universitet/Informationssystem

    Författare :Dusengimana Francois Regis; [2023]
    Nyckelord :MLOps; ML; AI; Automation; ML in production;

    Sammanfattning : In the last 5+ years, researchers and the industry have been working hard to adopt MLOps (Machine Learning Operations) to maximize production. The current literature on MLOps is still mostly disconnected and sporadic (Testi et al., 2022). LÄS MER