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Big data is defined as data that is so massive and complicated that processing it using typical methods is difficult. The practice of acquiring and storing vast amounts of data for analytics has a long history. This massive amount of data necessitates cost-effective and creative data processing methods that provide better insight, decision-making, and process automation. To process this information is where Machine learning comes in. Machine learning uses systems that are automated to label the data and find patterns in them. The data is then converted to insights that are usable and easy to understand. To forecast and mold customer behavior, large databases are used. The field of fitness will undergo significant changes in the future as artificial intelligence gets more incorporated into our lives. "Big Data is a data whose scale, distribution, diversity, and/or timeliness require the use of new technical architectures and analytics to enable insights that un...
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