Data is the heart of AI. So, therefore doing things associated with your data is going to be critical for AI projects. This includes Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, and Data Transformation.
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms above and explain why they are important for AI projects.
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