Sökning: "AutoML"

Visar resultat 1 - 5 av 13 uppsatser innehållade ordet AutoML.

  1. 1. Low-No code Platforms for Predictive Analytics

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Soma Karmakar; [2023]
    Nyckelord :Low code; no code; Predictive analytics; databricks; azure; AWS; Google cloud;

    Sammanfattning : In the data-driven landscape of modern business, predictive analytics plays a pivotal role inanticipating and mitigating customer churn—a critical challenge for organizations. However, thetraditional complexities of machine learning hinder accessibility for decision-makers. LÄS MER

  3. 2. The Allure of Automated Machine Learning Services : How SMEs and non-expert users can benefit from AutoML frameworks

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Datalogi

    Författare :Felix Lux Dryselius; [2023]
    Nyckelord :small and medium-sized enterprises; SME; machine learning; automated machine learning; AutoML; low-code; no-code; Vertex AI; AutoGluon; digitalization; project management;

    Sammanfattning : This study investigates how small and medium sized enterprises (SMEs) and other resource-lacking organisations can utilise automated machine learning (AutoML) to lessen the development hurdles associated with machine learning model development. This is achieved by comparing the performance, cost of usage, as well as usability and documentation for machine learning models developed through two AutoML frameworks: Vertex AI on Google Cloud™ and the open-source library AutoGluon, developed by Amazon Web Services. LÄS MER

  4. 3. Maximizing the performance of point cloud 4D panoptic segmentation using AutoML technique

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

    Författare :Teng Ma; [2022]
    Nyckelord :LiDAR perception; 4D panoptic segmentation; Hyperparameter Optimization; Deep learning; Automated Machine Learning; LiDAR-uppfattning; 4D-panoptisk segmentering; hyperparameteroptimering; djupinlärning; automatiserad maskininlärning;

    Sammanfattning : Environment perception is crucial to autonomous driving. Panoptic segmentation and objects tracking are two challenging tasks, and the combination of both, namely 4D panoptic segmentation draws researchers’ attention recently. LÄS MER

  5. 4. Analysis Of Fastlane For Digitalization Through Low-Code ML Platforms

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Krishnaraj Raghavendran; [2022]
    Nyckelord :low-code; no-code; automL; sagemaker; machine learning; vertex AI; cloud agnostic; digitailization; cloud native;

    Sammanfattning : Even a professional photographer sometimes uses automatic default settings that come up with the camera to take a photo. One can debate the quality of outcome from manual vs automatic mode. LÄS MER

  7. 5. Lesion Segmentation in 3D FDG-PET/CT Scans Using Deep Learning

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Adam Maen; [2022]
    Nyckelord :;

    Sammanfattning : Drug development is an expensive, long and complex process for pharmaceutical companies all around the world. One way to make it more reliable is to evaluate the drug at its early stages, so the decision can be made to go forward or move to another drug, which is also a time-consuming and costly task to be done by human experts. LÄS MER