Machine Learning Challenges
Jensen highlights the complexity of transforming data into intelligence at scale, emphasizing the importance of MLOps in managing the intricate process. Lukas appreciates the significance of refining software development as a manufacturing-like process in the realm of deep learning.In this clip
From this podcast
Gradient Dissent - A Machine Learning Podcast
Jensen Huang — NVIDIA's CEO on the Next Generation of AI and MLOps
Related Questions
What are the challenges in machine learning as discussed in the episode MLOps Meetup #23 // Monitoring the ML stack // Lina Weichbrodt and the clip Monitoring Machine Learning?
Do companies need large machine learning teams, as discussed in the episode MLOps Coffee Sessions #13 How to Choose the Right Machine Learning Tool: A Conversation // Jose Navarro and Mariya Davydova and the clip ML Infrastructure Standardization?
Do companies need large machine learning teams, as discussed in the episode MLOps Coffee Sessions #13 How to Choose the Right Machine Learning Tool: A Conversation // Jose Navarro and Mariya Davydova, and the clip ML Infrastructure Standardization?