ML Observability vs ML Monitoring – What’s the Difference?
When you ask machine learning (ML) engineers about their biggest challenges, monitoring and observability often tops the list. There are...
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What is Features in Machine Learning
The direct inputs to models are called features. For example, a patient diagnosis model might have features such as age, gender, one hot encoding of state, etc.
Features are usually numbers, because that is what most ML libraries know how to work with.
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