DataTalks.Club cover image

Data Engineering for Fraud Prevention - Angela Ramirez

DataTalks.Club

NOTE

The Importance of Data in NLP and ML

I love working with data engineering because data is the root of important processes like NLP and ML. Data is used to train models like chat GPT and maintain them daily. Analyzing model performance and using data for new methodologies is crucial. Focusing on data engineering allows me to understand model workings and maintain critical data for system success.

00:00
Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner