How Does AutoML Impact Machine Learning?

The world of big data encompasses a lot of buzzwords, and terms like “big data,” “artificial intelligence,” and “data science” have gone from being tech-centric terms to things executives and business analysts discuss. Among the next wave of terms is “automated machine learning,” which is frequently shortened to AutoML.

AutoML automates common machine learning steps that are often repetitive and involve a good amount of trial and error on the path to producing quality machine learning models. Some people seem to think that AutoML can actually replace data scientists in an organization by turning data science into a one-touch solution. That’s not true, and it’s important to recognize AutoML as a tool that expedites the capabilities of data scientists, just like machine learning itself.

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