Navigating ML Challenges
Shreya discusses the complexities of machine learning engineering, emphasizing the continuous learning process that differentiates it from traditional software development. She highlights the challenges of data management and the evolving nature of understanding problems within ML, suggesting that even advanced tools can't fully alleviate the manual effort required. Daniel shares a parallel experience, illustrating the often unexpected realities of working with data analysis over modeling.In this clip
From this podcast
The Gradient
Shreya Shankar: Machine Learning in the Real World
Related Questions
What are the challenges in machine learning?
What are the challenges in machine learning as discussed in the episode The Art and Science of Training LLMs // Bandish Shah and Davis Blalock // #219 and the clip Training ML Models?
What are the challenges in machine learning as discussed in the episode The Art and Science of Training LLMs // Bandish Shah and Davis Blalock // #219 and the clip Training ML Models?