Essays about: "sagemaker"

Showing result 6 - 10 of 10 essays containing the word sagemaker.

  1. 6. 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

  3. 7. Semantic Segmentation of Iron Ore Pellets in the Cloud

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

    Author : Hampus Lindberg; [2021]
    Keywords : Data annotation; Semantic segmentation; Docker; AWS; SageMaker; Ilastik; PyTorch; Unet ;

    Abstract : This master's thesis evaluates data annotation, semantic segmentation and Docker for use in AWS. The data provided has to be annotated and is to be used as a dataset for the creation of a neural network. Different neural network models are then to be compared based on performance. READ MORE

  4. 8. Measuring user experience in cloud services while loading, training, and serving machine learning models using Usability heuristics and cognitive walkthrough.

    University essay from

    Author : saipranav karanam; Ramya Devisetty; [2021]
    Keywords : ;

    Abstract : Introduction: Machine Learning as a Service (MLaaS) is a capture term for a range of cloud-based platforms that use machine learning tools to produce solutions that help machine learning professionals. Many cloud-based service providers have led the road in recent years to provide I.T. READ MORE

  5. 9. Semantic Segmentation of Iron Pellets as a Cloud Service

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

    Author : Rosenvall Christopher; [2020]
    Keywords : AWS; Amazon Web Services; Iron Pellets; Iron Ore; Iron Ore Pellets; Cloud; Cloud Service; Semantic Segmentation; Machine Learning; SageMaker; Neural Networks; FCN; PSP; DeepLab;

    Abstract : This master’s thesis evaluates automatic data annotation and machine learning predictions of iron ore pellets using tools provided by Amazon Web Services (AWS) in the cloud. The main tool in focus is Amazon SageMaker which is capable of automatic data annotation as well as building, training and deploying machine learning models quickly. READ MORE

  6. 10. Using supervised learning methods to predict the stop duration of heavy vehicles.

    University essay from Mälardalens högskola/Akademin för utbildning, kultur och kommunikation

    Author : Emiel Oldenkamp; [2020]
    Keywords : Mathematics; Applied Mathematics; Machine Learning; Supervised Learning; Regression; Linear Learner; Linear Regression; K-Nearest neighbors; Extreme Gradient Boosting; XGBoost; AWS SageMaker; Scania; Data Science; Data Analysis;

    Abstract : In this thesis project, we attempt to predict the stop duration of heavy vehicles using data based on GPS positions collected in a previous project. All of the training and prediction is done in AWS SageMaker, and we explore possibilities with Linear Learner, K-Nearest Neighbors and XGBoost, all of which are explained in this paper. READ MORE