Essays about: "machine learn- ing"

Showing result 1 - 5 of 19 essays containing the words machine learn- ing.

  1. 1. Analyzing the performance of active learning strategies on machine learning problems

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Vendela Werner; [2023]
    Keywords : computer science; bioinformatics; machine learning; active learning; artificial intelligence; supervised learning; Astrazeneca; maskininlärning; artificiell intelligens; datorvetenskap; active learning; bioinformatik; supervised learning;

    Abstract : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. READ MORE

  2. 2. Toward an application of machine learning for predicting foreign trade in services – a pilot study for Statistics Sweden

    University essay from Stockholms universitet/Statistiska institutionen

    Author : Tea Unnebäck; [2023]
    Keywords : foreign trade in services; sampling; sampling frame; statistics; machine learning; random forest; predicting; extreme gradient boosting; k nearest neighbors; k-nn; official statistics; statistics sweden;

    Abstract : The objective of this thesis is to investigate the possibility of using machine learn- ing at Statistics Sweden within the Foreign Trade in Services (FTS) statistic, to predict the likelihood of a unit to conduct foreign trade in services. The FTS survey is a sample survey, for which there is no natural frame to sample from. READ MORE

  3. 3. Federated Learning for edge computing : Real-Time Object Detection

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Ardit Memia; [2023]
    Keywords : Federated Learning; Artificial Intelligence; Machine Learning; Edge computing; Object Detection; Decentralized AI;

    Abstract : In domains where data is sensitive or private, there is a great value in methods that can learn in a distributed manner without the data ever leaving the local devices. Federated Learning (FL) has recently emerged as a promising solution to collaborative machine learning challenges while maintaining data privacy. READ MORE

  4. 4. Employee Turnover Prediction - A Comparative Study of Supervised Machine Learning Models

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Suvoj Reddy Kovvuri; Lydia Sri Divya Dommeti; [2022]
    Keywords : Machine Learning; Employee Turnover Prediction; Supervised Learn- ing Models; Logistic Regression; Naive Bayes Classifier; Random Forest Classifier; XGBoost;

    Abstract : Background: In every organization, employees are an essential resource. For several reasons, employees are neglected by the organizations, which leads to employee turnover. Employee turnover causes considerable losses to the organization. READ MORE

  5. 5. Modeling code quality using machine intelligence

    University essay from Lunds universitet/Matematik LTH

    Author : Arvid Malmström; Erik Kindt; [2022]
    Keywords : Machine Learning; Artificial Intelligence; Software Development; Software Metrics; Technology and Engineering;

    Abstract : For any company with a software development branch, one of the most important aspects is to write maintainable, understandable, high-quality source code. This will result in fewer work hours to refactor the code if changes are needed. Therefore it’s expensive to keep working with source code of poor quality. READ MORE