Machine Learning
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This courselet explores whether semantic information extracted from Ai...
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We propose a novel Transformer-based methodology that integrates finan...
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Elizaveta Zinovyeva PhD topic
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This resource is related to the research paper "Meta-Learning for Moni...
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Variable Selection Lasso
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This resource is related to the research paper "Towards Code Summariza...
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The is the overview of the research paper Antisocial Online Behavior D...
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Bachelor-level lecture aimed to strike a balance between teaching stud...
Machine Learning Courses/Courselets
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This courselet explores whether semantic information extracted from Airbnb guest reviews can improve price prediction for Ber..
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What you will learn
- Use reviews as data - See how guest reviews can add useful signals for Airbnb price prediction.
- Prepare review text - Clean, anonymise and split multilingual reviews into sentence-level data.
- Find recurring topics - Use embeddings, UMAP and BERTopic to group similar review sentences into topics.
- Measure topic sentiment - Analyse whether guests talk positively or negatively about each topic.
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Kernel smoothing for foundational models: https://arxiv.org/abs/2602.02162
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This is a presentation corresponding to the paper https://arxiv.org/abs/2503.16753
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We propose a novel Transformer-based methodology that integrates financial news articles directly with time-series market dat..
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This resource is related to the research paper "Meta-Learning for Monitoring in Code Summarization Systems".
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Variable Selection Lasso
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This resource is related to the research paper "Towards Code Summarization for Scientific Domain Experts on Scarce Data" crea..
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The is the overview of the research paper Antisocial Online Behavior Detection using Deep Learning 2020
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Bachelor-level lecture aimed to strike a balance between teaching students how to code in Python and conveying the foundation..
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