ML 005: Transfer Learning for NLP with Daniel Svoboda
Published: September 15, 2020
ML 005: Transfer Learning for NLP with Daniel Svoboda
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Show Notes
One of the hottest fields right now in machine learning is natural language processing. Whether it’s getting sentiment from tweets, summarizing your documents, sarcasm detection, or predicting stock trends from the news, NLP is definitely the wave of the future. Special guest Daniel Svoboda talks about transfer learning and the latest developments such as BERT that promises to revolutionize NLP even further.
Sponsors
Panel
- Charles Max Wood
- Gant Laborde
Guest
- Daniel Svoboda
Links
- towardsdatascience.com/bert-explained-state-of-the-art-language-model-for-nlp
- ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html
- ai.googleblog.com/2017/08/transformer-novel-neural-network.html
- www.nltk.org
- spacy.io
- https://www.kaggle.com
Picks
Charles Max Wood:
- Traffic Secrets: The Underground Playbook for Filling Your Websites and Funnels with Your Dream Customers
- Range: Why Generalists Triumph in a Specialized World
Gant Laborde:
Daniel Svoboda:
- Star Trek: Picard
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