Shared Machine Learning Mistakes

You can always learn from mistakes.   Especially in the case of technologies where the methods are still evolving.   And what is the inherent risk involved in wrong answers?  And naturally any ML project integrates several technologies.  Also good to see multiple cases and industries.

Machine learning lessons: 5 companies share their mistakes
Machine learning can also go terribly wrong, making you regret that enthusiastic rush to adopt
             
Bob Violino By Bob Violino
Contributing Writer, InfoWorld

Machine learning is one of those hot technology categories that has lots of business and technology executives scrambling to see how their organizations can get in on the action. Done right, machine learning can help you create more effective sales and marketing campaigns, improve financial models, more easily detect fraud, and enhance predictive maintenance of equipment—to name a few.

But machine learning can also go terribly wrong, making you regret that enthusiastic rush to adopt. Here are five ways machine learning can go wrong, based on the actual experience of real companies that have adopted it. They’ve shared their lessons so you can avoid the same failures. ... "