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  ## About
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- This projects aims to monitor in-demand skills for machine learning roles. Skills are extracted with a BERT-based skill extraction model called JobBERT, which is continously fine-tuned on the job postings. The skills are monitored/visualized 1. embedding the extracted skills tokens into vector form, 2. performing dimensionality reduction with UMAP, 3. visualizing the reduced embeddings.
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  ![Header Image](header.png)
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  ## About
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+ This projects aims to monitor in-demand skills for machine learning roles. Skills are extracted with a BERT-based skill extraction model called JobBERT, which is continously fine-tuned on the job postings. The skills are monitored/visualized by: 1. embedding the extracted skills tokens into vector form, 2. performing dimensionality reduction with UMAP, 3. visualizing the reduced embeddings.
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  ![Header Image](header.png)
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