Sökning: "training set"
Visar resultat 1 - 5 av 916 uppsatser innehållade orden training set.
1. Datadrivet beslutsfattande och kompetensutveckling: En intervjustudie om databaserad beslutsfattning och kompetensutveckling i fotbollsorganisationer
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : This study explores the shift in football recruitment from traditional scouting to data-driven methods, focusing on Sweden. It investigates how football organizations can enhance competency for effective data-driven recruitment. LÄS MER
2. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. LÄS MER
3. Data Augmentation for Object Detection using Deep Reinforcement Learning
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : Data augmentation is a concept which is used to improve machine learning models for computer vision tasks. It is usually done by firstly, defining a set of functions which transforms images and secondly, applying a random selection of these functions on the images. LÄS MER
4. Automation of manual tasks at Statistics Sweden : Supervised machine learning as proof-of-concept
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Supervised machine learning is used to create a proof-of-concept for automation of manual tasks for Statistics Sweden. The goal of the first part is to classify occupations with an SSYK code using descriptions entered by the employee, the education level of the employee, and their industry. LÄS MER
5. The Public, The Police, and The Puzzle of Information
Magister-uppsats, Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : When humans are involved, things can go wrong. This is a statement as factually true and yet dramatically undefined and dangerously ambiguous as any. No matter the industry or domain, where humans interact with other humans, perfect predictability is impossible and a focus on negative outcomes can seem natural. LÄS MER