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Introduction

One of the best-kept secrets that refuse to go mainstream. What is missing from the typical data science Learning track? We learn the basics of statistics, the basics of data manipulation, run through the typical gamut of model algorithms around supervised unsupervised and the newer ones such as reinforcement learning, anomaly detection, vision, NLP, we learn to evaluate those models, and so on... but very little, if any, is taught about the customer.



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Show Notes

(pardon typos and formatting -
these are the notes I use to make the videos)

One of the best-kept secrets that refuse to go mainstream. What is missing from the typical data science Learning track? We learn the basics of statistics, the basics of data manipulation, run through the typical gamut of model algorithms around supervised unsupervised and the newer ones such as reinforcement learning, anomaly detection, vision, NLP, we learn to evaluate those models, and so on... but very little, if any, is taught about the customer.