13/08/2021
Don't miss out! The Science to Data Science Keynote is next week!
This year, we're very excited to introduce Julia Silge as our keynote speaker. Julia is a data scientist and software engineer at RStudio PBC where she works on open-source modelling tools. She is an author, an international keynote speaker, and a real-world practitioner focusing on data analysis and machine learning practice. Julia loves text analysis, making beautiful charts, and communicating about technical topics with diverse audiences.
Julia will be speaking about creating features for machine learning from text:
"Natural language that we as speakers and/or writers use must be dramatically transformed to new representations, whether we are just starting off with exploratory data analysis or are ready to train machine learning algorithms such as predictive models. We can explore typical text preprocessing steps from the ground up, from tokenization to building word embeddings, and consider the effects of these steps. When are these preprocessing steps helpful, and when are they not? In this talk, learn about the process of text preprocessing for ML models in the real world, how and when practitioners use different preprocessing choices and considerations for text ML tooling."
After Julia's talk, we invite all our guests to stay for an evening of networking on the Hopin platform.
Register now.
https://bit.ly/3ePSsNz
