ML practitioners face challenges in annotating large training datasets. In this session, we will demonstrate a Jupyter Notebook that helps you automate the annotation of a training dataset where data has been manually extracted from before, with the help of CV API and BigQuery. As a bonus, we will show you how to use the resulting model to import data directly from G-Drive and Gmail into G-Sheets.
28 RSVP'd
ML practitioners face challenges in annotating large training datasets. In this session, we will demonstrate a Jupyter Notebook that helps you automate the annotation of a training dataset where data has been manually extracted from before, with the help of CV API and BigQuery. As a bonus, we will show you how to use the resulting model to import data directly from G-Drive and Gmail into G-Sheets.
Wednesday, September 21, 2022
3:45 PM – 5:15 PM (UTC)
| 3:45 PM | e-Doors opening |
| 4:00 PM | Introductions |
| 4:05 PM | Cool Blog Posts |
| 4:15 PM | Our main event |
Partner Developer Advocate
Self-Employed
Google Cloud Consultant
Self-Employed
Google Cloud Consultant
Allumiqs
Sr Data Scientist | M.D
Contact Us
