Understanding Your Machine Learning Problems and Data
Recall in a previous course, we have introduced the Machine Learning Process Lifecycle (MLPL), simply put there are four stages: Business Understanding and Problem Discovery Data Acquisition and Understanding ML Modeling and Evaluation Delivery and Acceptance These phases are iterative, you can’t skip ahead. A good, clear problem definition is important. Business Understanding and Problem … Continue reading Understanding Your Machine Learning Problems and Data
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