Today, generative AI is all the rage, yet the foundation of machine learning remains critical. From personalized recommendations to production challenges, understanding these basics is essential for software engineers.
One major insight we explored is the importance of bringing machine learning models from fancy theory into practical use, addressing the common issue where models fail to deliver real value when deployed.
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