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2019-web/data/talks/122.yaml
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| # Talk details are specified in YAML files | |
| # YAML was selected because we can use multi-line strings and add | |
| # comments in the file. | |
| speaker_name: "Susan Li" | |
| talk_title: "Do-it-yourself Natural Language Processing for makers" | |
| # At least 1 tag is necessary!! | |
| talk_tags: | |
| - "Machine Learning & Data Science" | |
| talk_abstract: "Susan Li walks you through deep learning methods for natural language processing (NLP) tasks using Python and open source libraries, using a live example. Methods include word2vec embedding, recurrent neural networks (RNN) and convolutional neural networks (CNN). This is a hands-on approach to framing a real-world problem to the underlying NLP tasks and building a NLP application using Deep Learning. If you are a data scientist or software developer with experience in Python who wants to develop natural language processing software, this talk is for you." | |
| about_author: "I am Susan Li, the Sr. Data Scientist at Kognitiv where I specialize in machine learning and NLP. I’m passionate about helping organizations realize the potential of big data and advanced analytics, and helping individuals enhance skills in data literacy. I frequently write and speak about predictive analytics, machine learning and NLP for technical and general audience. In my free time, I can be found training for the next half marathon." | |
| talk_metadata: | |
| - "**Date:** Saturday Nov. 16" | |
| - "**Location:** Clipper Room" | |
| - "**Begin time:** 10:30" | |
| - "**Duration:** 55 minutes" | |
| - "**Sign-up:** Please sign up for this tutorial on the <a href='https://github.com/pyconca/2019-wiki/wiki/tutorials' target='_blank'>wiki here.</a>" |