From notebooks to Netflix scale with Metaflow
Practical AI
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The Evolution of AI and Data Science Infrastructure
In this chapter, the speaker reflects on their journey in AI, beginning with early experiences in neural networks and highlighting the evolution of data science infrastructure over the years. They discuss significant advancements in tools and cloud technologies that have transformed model building while addressing persistent challenges faced by data scientists today. The chapter emphasizes the shift in required skill sets from deep programming knowledge to a focus on Python and cloud computing, alongside the introduction of tools like Metaflow.
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