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910 Machine Learning and Data Science: Academia vs. Industry

Habr
rickya @ Habr 2 place · 05/30/2024 06:48 EDT

Machine Learning and Data Science: Academia vs. Industry

Machine Learning (ML) technologies are becoming increasingly popular and have various applications, ranging from smartphones and computers to large-scale enterprise infrastructure that serves billions of requests per day. Building ML tools, however, remains difficult today because there are no industry-wide standardised approaches to development. Many engineering students studying ML and Data Science must re-learn once they begin their careers. In this article, I've compiled a list of the top five problems.

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