Essays about: "Azure ML"

Showing result 1 - 5 of 6 essays containing the words Azure ML.

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

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

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

    Abstract : 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). READ MORE

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

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

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

    Abstract : 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. READ MORE

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

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

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

    Abstract : 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. READ MORE

  4. 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

    University essay from Uppsala universitet/Institutionen för informationsteknologi

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

    Abstract : 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. READ MORE

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

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Gustav Berg; [2022]
    Keywords : machine learning; image classification; MLaaS; supervised learning; artificial intelligence;

    Abstract : 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. READ MORE