What does “Garbage in, garbage out” mean in solving real business problems?

Author(s): Zijing Zhu

Originally published on Towards AI.

and how to avoid it with a practical workflow

Photo by Gary Chan on Unsplash

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In today's business landscape, relying on accurate data is more important than ever. The phrase "garbage in, garbage out" perfectly captures the importance of data quality in achieving successful data-driven solutions. While using the right model for forecasting or classification is crucial, it's impossible to achieve good results without reliable data input. By using amplified features generated from trustworthy data sources, even simple linear regressions can yield highly accurate results. In this blog post, I will discuss the importance of data in solving real-world… Read the full blog for free on Medium.

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Published via Towards AI