Tackling complex ML problems with small steps, MLOps best practices, pre-model analysis, from marketing analyst to principal ML researcher with Nathan Landi, The Data Scientist Show #023

Nathan Landi is a principal quantitative researcher at TEKSystems. He is on the advisory board of MLOps world. We talk about pre-model analysis using information value, MLOps best practices, multi-stage modeling, tackling complex problems with simple models, interview tips, and how he grew his career from marketing analyst to principal ML researcher. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on www.dalianaliu.com/ for more on data science.

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The mentorship service mentioned is SharpestMinds, it's free to sign up here.

Nathan's Linkedin: https://www.linkedin.com/in/nathanielglandi/