Exploratory Data Analysis: The Missing Ingredient for AI at Heapcon 2022

Few things guarantee success with AI, but one thing guarantees failure: skipping exploratory data analysis. In this new talk from AI practitioner and TrustInsights.ai Chief Data Scientist Christopher Penn, you’ll learn how to increase the odds of success for any AI project, whether with a vendor or in-house. You’ll learn:

What exploratory data analysis is and isn’t
The negative consequences of skipping EDA
Why AI demands proper EDA – and why so many companies skip this vital step
How to conduct proper exploratory data analysis, from data integrity to feature selection to principal component analysis
When to put the brakes on an AI project because your data isn’t ready

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Exploratory Data Analysis: The Missing Ingredient for AI at Heapcon 2022

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