These are some of the best known examples of mistakes often made in machine learning i.e. predictive analytics projects. Well stated, the examples are good, and are worth repeating.
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- Franz Dill
- Retired from Procter & Gamble after 27 years. Now consulting extensively. Background in mathematics, working on a wide variety of modeling, supply chain, analysis, expertise, business intelligence and social media applications.
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