
453: Big Global Problems Worth Solving with Machine Learning
Super Data Science: ML & AI Podcast with Jon Krohn
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Navigating the Data Science Landscape
This chapter reflects on the essential skills needed in computer science for data scientists, emphasizing the significance of coding, databases, and infrastructure in machine learning. It explores the evolving career paths in data science, distinguishing between traditional business intelligence roles and dynamic production roles that require a deep understanding of software engineering. The discussion further highlights the challenges of keeping up with rapidly changing technologies and the nuances of content creation in the context of open source software.
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