Few things guarantee success with AI, but one thing guarantees failure: skipping exploratory data analysis. In this brand new, never-before-seen 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

Most of this talk is appropriate for any level practitioner; the walkthrough will showcase technologies in the free R programming language but does not require technical skills to understand.

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ABOUT CHRISTOPHER:
Christopher S. Penn is an authority on analytics, digital marketing, marketing technology, data science, and machine learning. A recognized thought leader, best-selling author, and internationally renowned keynote speaker, he has shaped five key fields in the marketing industry: Google Analytics adoption, data-driven marketing and PR, modern email marketing, marketing data science, and artificial intelligence/machine learning in marketing. As co-founder and Chief Data Scientist of Trust Insights, he is responsible for the creation of products and services, the creation and maintenance of all code and intellectual property, technology and marketing strategy, brand awareness, and research & development.

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