Essays about: "k nearest"
Showing result 21 - 25 of 216 essays containing the words k nearest.
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21. Developing Machine Learning-based Recommender System on Movie Genres Using KNN
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : With an overwhelming number of movies available globally, it can be a daunting task for users to find movies that cater to their individual preferences. The vast selection can often leave people feeling overwhelmed, making it challenging to pick a suitable movie. READ MORE
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22. Supervised classification for human movement data : A comparative study of functional and traditional methods
University essay from Umeå universitet/StatistikAbstract : Functional data analysis (FDA) has a growing importance in statistics, especially in disciplines like biomechanics, where it is common to observe data over time. The objective of this thesis is to employ FDA techniques and compare the classification performance of supervised classification models utilizing functional data with the same models using a discrete summary measurement (max-values) as input. READ MORE
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23. Machine Learning Algorithms to Predict Cost Account Codes in an ERP System : An Exploratory Case Study
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This study aimed to investigate how Machine Learning (ML) algorithms can be used to predict the cost account code to be used when handling invoices in an Enterprise Resource Planning (ERP) system commonly found in the Swedish public sector. This implied testing which one of the tested algorithms that performs the best and what criteria that need to be met in order to perform the best. READ MORE
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24. Estimating the load weight of freight trains using machine learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Accurate estimation of the load weight of freight trains is crucial for ensuring safe, efficient and sustainable rail freight transports. Traditional methods for estimating load weight often suffer from limitations in accuracy and efficiency. READ MORE
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25. The use of Machine Learning to predict adverse birth outcomes: Empirical real world evidence from a human cohort study in Adama, Ethiopia
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : Since Ethiopia has a high number of recorded adverse birth outcomes, the city of Adama was subjected to a study (Flanagan et al., 2022) that gathered data from 2085 pregnancies. This thesis utilizes that data to investigate the usage of machine learning in environmental epidemiology. READ MORE