Sökning: "Learning together"
Visar resultat 21 - 25 av 1396 uppsatser innehållade orden Learning together.
21. Drivers of sea level variability using neural networks
Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaperSammanfattning : Understanding the forcing of regional sea level variability is crucial as many people all over the world live along the coasts and are endangered by extreme sea levels and the global sea level rise. The adding of fresh water into the oceans due to melting of the Earth’s land ice together with thermosteric changes has led to a rise of the global mean sea level with an accelerating rate during the twentieth century. LÄS MER
22. Fallenhet för media multitasking och prestation i episodiska minnesuppgifter: En experimentell kvantitativ studie
Kandidat-uppsats, Lunds universitet/Institutionen för psykologiSammanfattning : I denna studie undersökte vi korrelationen mellan fallenhet till multitasking och minnesprestation i episodiska minnesuppgifter för detaljer och associationer. Hypotesen var att personer med hög fallenhet till multitasking skulle prestera bättre i minnesuppgifter gällande minnen för associationer, och personer med låg fallenhet till multitasking skulle prestera bättre i minnesuppgifter gällande minnen för detaljer. LÄS MER
23. Lärares digitala kompetens : En studie av en webbutbildning för lärares digitala kompetensutveckling
Uppsats för yrkesexamina på grundnivå, Umeå universitet/Institutionen för språkstudierSammanfattning : In this essay, the Swedish National Agency for Education's course ”Choosing and Evaluating Digital Learning Resources” is analyzed. The research questions include how the course is structured, if anything is emphasized as important in working with digital tools (and what is emphasized if so), and how much explicit advice is given to teachers and how this advice is formulated. LÄS MER
24. A lightweight deep learning architecture for text embedding : Comparison between the usage of Transformers and Mixers for textual embedding
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Text embedding is a widely used method for comparing pieces of text together by mapping them to a compact vector space. One such application is deduplication which consists in finding textual records that refer to the same underlying idea in order to merge them or delete one of them. LÄS MER
25. Active learning for text classification in cyber security
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the domain of cyber security, machine learning promises advanced threat detection. However, the volume of available unlabeled data poses challenges for efficient data management. This study investigates the potential for active learning, a subset of interactive machine learning, to reduce the effort required for manual data labelling. LÄS MER