ML 005: Transfer Learning for NLP with Daniel Svoboda

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

• Machine Learning for Software Engineers by Educative.io
• Audible.com
• CacheFly

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:

• AI-QuickStartGuide.pdf

Daniel Svoboda:

• Star Trek: Picard

Follow Adventures in Machine Learning on Twitter > @podcast_ml

Advertising Inquiries: https://redcircle.com/brands

Privacy & Opt-Out: https://redcircle.com/privacy

Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.