A data platform is an integrated set of technologies that collectively meet an organization’s end-to-end data needs. It enables the acquisition, storage, preparation, delivery, and governance of your data, as well as a security layer for users and applications.
Soumen Sarkar has been developing and managing software in the silicon valley since 1996. He has held Technical Leadership & Director roles in Software Engineering & Architecture, Technical Product Management and Technical Program Management. He is passionate about continuous learning and authentic experience sharing. He lives in San Jose, California.
The aphorism acknowledges that models of our knowledge always fall short of the complexities of reality but can still be useful nonetheless. With this model background, let us delve into this article focusing on specific technical debt in Machine Learning System development.