Essays about: "Learning Analytics"

Showing result 6 - 10 of 111 essays containing the words Learning Analytics.

1. 6. 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. 7. Exploring Advanced Clustering Techniques for Business Descriptions : A Comparative Study and Analysis of DBSCAN, K-Means, and Hierarchical Clustering

   University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

   Author : Wisam Orabi Alkhen; [2023]
   Keywords : Machine learning; Business descriptions; Search scope reduction; Relevant business terminology; Data analysis.;

   Abstract : In this study, we introduce several approaches to analyze large volumes of business descriptions by applying machine learning clustering and classification algorithms. The goal is to efficiently classify these descriptions, reducing the search scope and allowing for better business insights and decision-making processes. READ MORE

4. 8. Extraction of Global Features for enhancing Machine Learning Performance

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Abyel Tesfay; [2023]
   Keywords : Machine Learning; Deep Learning; Feature Extraction; Global Features; Time-series data; Bioprocessing; Maskininlärning; Djupinlärning; Funktionsextraktion; Globala Funktioner; Tidsserie data; Biobearbetning;

   Abstract : Data Science plays an essential role in many organizations and industries to become data-driven in their decision-making and workflow, as models can provide relevant input in areas such as social media, the stock market, and manufacturing industries. To train models of quality, data preparation methods such as feature extraction are used to extract relevant features. READ MORE

5. 9. Staff’s perception of students’ informational privacy in higher education: The case of Canvas

   University essay from Uppsala universitet/Institutionen för geovetenskaper

   Author : Jan-Philip Tummes; [2023]
   Keywords : Sustainable development; informational privacy; dataveillance; surveillance cultures; learning management system; Canvas;

   Abstract : This study aims at discussing how students’ informational privacy in the learning management system (LMS) Canvas is perceived by staff at higher education institutions (HEIs), as well as identifying challenges arising from dataveillance and from perceptions of informational privacy themselves. The study of perceptions is based on a range of interviews at five HEIs in Sweden. READ MORE

6. 10. Machine Learning Clustering andClassification of Network DeploymentScenarios in a Telecom Networksetting

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Chayan Shrang Raj; [2023]
   Keywords : Telecommunications; Statistics; Machine Learning; Masters; PySpark; Python; Data Visualization; LTE; eNodeB; Data analysis; Data Science; AI; Jupyter; HDFS;

   Abstract : Cellular network deployment scenarios refer to how cellular networks are implementedand deployed by network operators to provide wireless connectivity to end users.These scenarios can vary based on capacity requirements, type of geographical area, populationdensity, and specific use cases. READ MORE