
In this talk, speakers will explore Explosion's philosophy on Applied Natural Language Processing (NLP). Applied data science demands going beyond the "how" of academia to first (and foremost) focus on the "what" of the desired real-world solution and the principles behind Explosion's successful applied NLP philosophy and how tools like spaCy and Prodigy reflect those principles. They will provide concrete examples of ways to improve your data science projects with iterative experimentation and thoughtful annotation guidelines. Finally, focus on why it is essential for aspiring applied data scientists to develop critical thinking skills.
Note that this seminar was rescheduled from November 15.