Essays about: "Machine Learning comparison"
Showing result 1 - 5 of 414 essays containing the words Machine Learning comparison.
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1. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience
University essay from KTH/Hälsoinformatik och logistikAbstract : Flygresor.se, a leading flight comparison platform, uses machine learning to rankflights based on their likelihood of being clicked. The main goal of this project was toimprove this flight sorting to obtain a better user experience. The platform's existingmodel is based on a neural network approach and a limited set of features. READ MORE
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2. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE
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3. Towards Automated Log Message Embeddings for Anomaly Detection
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Log messages are implemented by developers to record important runtime information about a system. For that reason, system logs can provide insight into the state and health of a system and potentially be used to anticipate and discover errors. READ MORE
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4. A Comparative Analysis of Whisper and VoxRex on Swedish Speech Data
University essay from Uppsala universitet/Statistiska institutionenAbstract : With the constant development of more advanced speech recognition models, the need to determine which models are better in specific areas and for specific purposes becomes increasingly crucial. Even more so for low-resource languages such as Swedish, dependent on the progress of models for the large international languages. READ MORE
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5. Predicting Counter-Strike Matches using Machine Learning Models
University essay from Lunds universitet/Statistiska institutionenAbstract : Sports betting is a widespread industry where predictive modeling play a big role. The goal of this thesis is to explore the possibilities of machine learning within the realm of e-sport prediction. The data used for this thesis is publicly available data was recorded over a three year period. READ MORE