Business Analytics and Data Science Meetup 36


Details
This month, Pivigo is running the eighth edition of its Science to Data Science (S2DS) August programme (and 20th S2DS in total); bringing highly skilled PhD scientists together with companies to work on innovative data science projects and solutions.
To celebrate their work, and to be inspired, we're delighted to invite our BizDS Meetup community the exclusive opportunity to attend the virtual Keynote presentation at S2DS August 2021.
This year our speaker is Julia Silge, data scientist and software engineer at RStudio PBC where she works on open source modeling 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.
Keynote Title: Creating features for machine learning from text
Abstract: 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.
We will start and finish the evening with great networking amongst the S2DS participants, alumni, company partners and VIP guests.
Spaces at this event are limited so do please register quickly at https://hopin.com/events/s2ds-keynote-2021 to secure yours!
Here's what's in store:
18.30-19.00 Pre-talk speed networking
19.00-20.00 Keynote presentation and Q&A
20.00-21.30 Post-talk themed networking sessions

Business Analytics and Data Science Meetup 36