Democratizing Machine Learning
The discussion highlights the importance of low to no code solutions in making machine learning accessible. By leveraging a scalable internal platform and sophisticated workflows, the team enables users to easily configure and deploy algorithms without deep coding knowledge. This approach not only streamlines the model-building process but also ensures governance and quick time to market for machine learning applications.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Real-Time ML Workflows at Capital One with Disha Singla - 606
Related Questions
How can we democratize features in product development as discussed in the episode MLOps community meetup #11 // Machine Learning at Scale in Mercado Libre with Carlos de la Torre and the clip Integrating Machine Learning?
How can we democratize features in product development as discussed in the MLOps community meetup #11 // Machine Learning at Scale in Mercado Libre with Carlos de la Torre and the clip Integrating Machine Learning?