In Part 1 of a two-part episode, we talk with David Scripka about all things Data Science and Machine Learning. From what data scientists do to how machine learning models work, as well as the scary-fast evolution of the Large Language Models like ChatGPT, we cover some basics to help people understand what goes into making these AI models work.

In Part 2 next week, we'll cover the rapidly changing landscape of low-code/no-code solutions that are lowering the barrier of entry for data scientists, as well as the crucial collaboration that will need to happen between product management, engineer, and data science as we all venture forward into this new AI future.

Join the discussion on Reddit: https://www.reddit.com/r/AcceptanceCriteria/

And on the Discord: https://discord.gg/2Tyj8H9MFF

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