Why is Mahout necessary? | LinkedIn: "Vishwakarma S. • We can understand the value of Mahout by following these two approaches of machine learning. One approach would be to collect, clean, and then use all the data to learn a model using an algorithm in Mahout. This approach does not yield a good result because real data is always dirty ( noise, skewed, missing values, error, correlated, etc.). Generally, ML is a two step process : Data Preprocessing and Model Learning. "
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