5 Common Mistakes in Machine Learning and How to Avoid Them
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Using machine learning to solve real-world problems is exciting. But most eager beginners jump straight to model building—overlooking the fundamentals—resulting in models that aren’t very helpful. From understanding the data to choosing the best machine learning model for the problem, there are some common mistakes that beginners often tend to make.
But before we go over them, you should understand the problem—it is step 0 if you will—you are trying to solve. Ask yourself enough questions to learn more about the problem and the domain. Also consider if machine learning is necessary at all: start without machine