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Visar resultat 1 - 5 av 275 uppsatser innehållade orden för we är väl alla.
1. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks
Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER
2. Undersökning av riskarbete i en beslutsprocess för säljkontrakt
Uppsats för yrkesexamina på grundnivå, Linnéuniversitetet/Institutionen för maskinteknik (MT)Sammanfattning : Risks are something that occur daily for all individuals and can arise from a variety of activities. If we don't take these risks into account, we will likely eventually be affected by them. By identifying and analyzing risks, the most appropriate decision can be made to mitigate or avoid the risk completely. LÄS MER
3. Principalens bemötande av nyexaminerade fastighetsmäklare
Kandidat-uppsats, KTH/Fastighetsföretagande och finansiella systemSammanfattning : Sammanfattning Bakgrund Fastighetsmäklaryrket är en ständigt växande bransch med hög rörlighet och där allt fler individer väljer att utbilda och registrera sig till fastighetsmäklare varje år. Det finns även en relativt hög andel som väljer att lämna yrket inom kort tid efter registrering. LÄS MER
4. Identification of restoration hotspots in landscape-scale green infrastructure planning based on model-predicted connectivity forest
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Boreal forest landscapes have undergone severe anthropogenic fragmentation and their enormous values concerning, e.g., ecosystem service, biodiversity and culture are hazarded. LÄS MER
5. Forecasting post COVID-19 : How to improve forecasting models’ performance when training data has been aected by exceptional events like COVID-19 pandemic?
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Almost every company around the world were aected by the COVID-19 crisis and the government measures that were taken to slow the spread of the virus. The impact the crisis had on the economy caused the appearance of anomalies in the data collected by companies : such as abnormal trend, seasonality etc. LÄS MER