Big Data without algorithms is a dumb data. Algorithms like machine learning, text processing, data mining extract knowledge out of the data and makes it smart data. These algorithms make the data consumable or actionable for humans and businesses. Such actionable data can drive business decisions or predict products that customers most likely to buy next. Amazon and Netflix are popular examples of how the learnings from data can be used for influencing customer decisions. Hence, machine learning algorithms are very important in the era of Big Data. BTW in the field of Big Data, ‘Machine learning’ is considered more broadly ( than what it is really meant by the machine learning professionals) and includes pure statistical algorithms as well as other algorithms that are not based on ‘learning’s.
Earlier today, on 16th June, Microsoft announced a preview of machine learning service called AzureML on its Azure cloud platform. With…
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