Unsupervised machine learning models don’t require any human supervision, right? Nope. These models typically require even more human judgment because the variable to be predicted or analyzed isn’t inside the data.
This and other pervasive machine learning misconceptions are running rampant in businesses and are threatening your company’s success. Find out what the seven biggest myths of machine learning are and how you can avoid them to maximize your ML initiatives.
In this new Forrester report, you’ll find answers to common misconceptions like:
- Is machine learning only useful for predicting the future?
- Is model accuracy the best predictor for success?
- Can machine learning algorithms answer any question if they have enough data?
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