Data Discovery

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• Subproblems: In Data Science, subproblems refer to breaking down a complex problem into smaller, more manageable parts that can be solved independently. This approach is often used in machine learning, where a large dataset is divided into smaller subse ... Read More >>
• Backups: Backups refer to the process of creating and storing copies of data or systems in case the original data or system is lost, corrupted, or destroyed. In data science and artificial intelligence, backups are crucial for ensuring the integrity ... Read More >>
• Agility: Agility in Data Science refers to the ability of an organization to quickly and efficiently adapt to changes in data, technology, and business requirements. It involves the use of agile methodologies and practices to enable teams to deliver ... Read More >>