In this episode I’m joined by Alexander Chukovski, Director of Data Services at Munich, Germany based career platform, Experteer.
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In this podcast we explore Alex’s journey to implement machine learning at Experteer. Alex and I discuss the Experteer NLP pipeline and how it’s evolved over time to address the company’s need for greater automation in the way it processes jobs on its platform. We also discuss Alex’s work with deep learning based ML models, including models like VDCNN and Facebook’s FastText offering, which he’s particularly excited about. Finally, we briefly discuss recent papers that look at transfer learning for NLP, how Alex keeps up with recent academic papers, and a few tips for people looking to inject ML/DL in their products or projects.
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Mentioned in the Interview
- Paper: Very Deep Convolutional Networks for Text Classification
- Facebook Fasttext
- Paper: Structural Sentence Similarity Estimation for Short Texts
- Paper: Universal Language Model Fine-tuning for Text Classification
- Experteer for ICMA: Applied Machine Learning. Smart Process Automation with AI
- Applied Deep Learning for Text Classification – Examples from the HR Industry
- TWIML Presents: Series page
- TWIML Events Page
- TWIML Meetup
- TWIML Newsletter
“More On That Later” by Lee Rosevere licensed under CC By 4.0