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摘要: Data have been an essential part of business for so many years. Manufacturers, retailers, and marketers depend on data to develop products and design strategies used in daily business operations. Handling simple data could be easy for businesses as they can be stored, analyzed, and presented using spreadsheets or text processors.However, the rise of big data has brought about the need for better data management amongst businesses.

摘要: Since machine learning is a relatively new field, the limits of its application are constantly pushed outward. Virtual personal assistants were the stuff of dreams a few years ago, and now they’re seen in every other household. While some examples are conspicuous, here are some ways ML is changing our lives that you may not have thought of.

摘要: Automated machine learning, or AutoML, has generated plenty of excitement as a pathway to “democratizing data science,” and has also encountered its fair share of skepticism from data science’s gatekeepers. Complicating the conversation even further is that there is no standard definition of AutoML, which can make the debate incredibly difficult to follow, even for those well-versed.

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