Episode 5: ML 005: Transfer Learning for NLP with Daniel Svoboda

<p>One of the hottest fields right now in machine learning is natural language processing. Whether it&rsquo;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.</p> <h3><strong>Sponsors</strong></h3> <ul> <li><a href="https://devchat.tv/learnML">Machine Learning for Software Engineers by Educative.io</a></li> <li><a href="http://www.audibletrack.com/click.track?CID=102175&amp;AFID=475401&amp;ADID=454213&amp;SID=%27%3E">Audible.com</a></li> <li><a href="https://www.cachefly.com/">CacheFly</a></li> </ul> <h3><strong>Panel</strong></h3> <ul> <li>Charles Max Wood</li> <li>Gant Laborde</li> </ul> <h3><strong>Guest</strong></h3> <ul> <li>Daniel Svoboda</li> </ul> <h3><strong>Links</strong></h3> <ul> <li><a href="https://towardsdatascience.com/bert-explained-state-of-the-art-language-model-for-nlp-f8b21a9b6270">towardsdatascience.com/bert-explained-state-of-the-art-language-model-for-nlp</a></li> <li><a href="https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html">ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html</a></li> <li><a href="https://ai.googleblog.com/2017/08/transformer-novel-neural-network.html">ai.googleblog.com/2017/08/transformer-novel-neural-network.html</a></li> <li><a href="https://www.nltk.org/">www.nltk.org</a></li> <li><a href="https://spacy.io/">spacy.io</a></li> <li><a href="https://www.kaggle.com/">https://www.kaggle.com</a></li> <li>&nbsp;</li> </ul> <h3><strong>Picks</strong></h3> <p><strong>Charles Max Wood:</strong></p> <ul> <li><a href="https://www.amazon.com/Traffic-Secrets-Underground-Playbook-Customers/dp/B08B9XH6KH/ref=tmm_aud_swatch_0?_encoding=UTF8&amp;qid=&amp;sr=For%20You">Traffic Secrets: The Underground Playbook for Filling Y