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Data Iceberg Model for Machine Learning

One of the pitfalls to developing production-ready machine learning solutions is the failure to identify the appropriate data assets. In evaluating the data assets to be used for your project, use the Data Iceberg Model approach to determine the underlying (i.e. not visible) structures that triggered the creation of the dataset.

The Iceberg Model is a good tool for discovering the underlying patterns, structures, and behaviors that cause an observable event. We know that approximately 90% of an iceberg is underwater. The 90% of the iceberg that exists below the surface is what creates the “event” seen by the 10% that exists above the surface.

The following Data Iceberg Model can be used to evaluate the quality & limitations of the data used to train your machine learning models.

bigThinking Data Iceberg Model (bT Data Iceberg Model PDF Version)

Kishau Rogers

Kishau Rogers is an award-winning technology entrepreneur specializing in wrangling complexity using computer science, systems thinking, creativity, and common sense. She is the Founder & CEO of Time Study, Inc., a high-growth startup offering solutions for using machine learning, advanced natural language processing, and data science to automatically tell a story of how enterprise employees spend their time and its impact on the areas that matter. As the Founder and CEO of Time Study, Kishau is one of the first Black women in Virginia to raise millions in venture capital to scale her tech startup. She is also the owner of Websmith Studio and the editor of the bigThinking project, a resource for promoting the principles of systems thinking.

Kishau’s work is featured in Forbes, The Wall Street Journal, Entrepreneur, and Black Enterprise. In addition, she is a recipient of many awards, including the VCU Distinguished Alumni (in Computer Science), NAWBO Wells Fargo STEM award, the Lyn McDermid Community Impact Award, and the MBL Entrepreneur of the Year Award.

In her commitment to using technology as a tool for social good, she also serves as an advisor to organizations and initiatives like AI for Afrika, Think Of Us, WAAW Foundation, Level Up Ventures, Virginia Commonwealth University Department of Computer Science, the first U.S. White House Hackathon for Foster Care and SheHacks Africa, a software engineering intensive providing training to women & girls across Africa.

She holds a Computer Science degree and has over twenty-five years of experience in the technology industry and more than 15 years of entrepreneurial leadership.

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