Kaggle, ML Community / Engineering (Sanyam Bhutani)
Machine Learning Street Talk (MLST)
00:00
Navigating Data Science and Engineering Dynamics
This chapter explores the intricate relationship between data science practices and engineering principles, emphasizing the skepticism surrounding the full stack data scientist role. It addresses various challenges, including the need for structured coding in production, the balance between exploration and constraints, and the evolution of machine learning benchmarks and testing methodologies. Additionally, it highlights the importance of collaboration and good coding practices to foster innovation while maintaining quality and compliance.
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