Sökning: "Azure ML"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Azure ML.

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. 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

4. 3. 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

5. 4. Machine Learning on Terrain Data and Logged Vehicle Data to Gain Insights into Operating Conditions for an Articulated Hauler : Machine Learning on Terrain Data and Logged Vehicle Data to Gain Insights into Operating Conditions for an Articulated Hauler

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Tianren Sun; Yen Chieh Wang; [2022]
   Nyckelord :CNN; Data Driven Manufacturing; Microsoft Azure Maps; Machine; Learning ML ; Road Surface; Topography;

   Sammanfattning : Manufacturers can develop next-generation production and service for their customers by the data gathered and analyzed from customers’ usage conditions. In this research, the operating condition of articular haulers is collected and analyzed through machine learning algorithms to predict the type of operational topographies and road surface. LÄS MER

7. 5. Image Classification with Machine Learning as a Service : - A comparison between Azure, SageMaker, and Vertex AI

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

   Författare :Gustav Berg; [2022]
   Nyckelord :machine learning; image classification; MLaaS; supervised learning; artificial intelligence;

   Sammanfattning : Machine learning is a growing area of artificial intelligence that is widely used in our world today. Training machine learning models requires knowledge and computing power. Machine Learning as a Service (MLaaS) tries to solve these issues. LÄS MER