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Programming Languages, Software Engineering and Machine Learning

Machine Learning Street Talk (MLST)

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Navigating Language Limitations in Software Development

This chapter explores the constraints imposed by programming languages on software development, particularly focusing on operator overloading and the evolution of languages like Java. It discusses the complexities of deploying machine learning models and the significant time spent on data engineering versus deriving insights. The dialogue emphasizes the disconnect between theoretical advancements and practical applications, highlighting the importance of adapting tools to meet real-world needs in both software engineering and machine learning.

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