{"id":35446,"date":"2024-11-16T09:56:56","date_gmt":"2024-11-16T09:56:56","guid":{"rendered":"https:\/\/aaft.com\/blog\/?p=35446"},"modified":"2024-11-20T10:06:02","modified_gmt":"2024-11-20T10:06:02","slug":"the-role-of-machine-learning-in-modern-data-science","status":"publish","type":"post","link":"https:\/\/aaft.com\/blog\/data-science\/the-role-of-machine-learning-in-modern-data-science\/","title":{"rendered":"The Role of Machine Learning in Modern Data Science"},"content":{"rendered":"\n

Data science is a domain that studies several sources of data and employs a range of techniques, tools, systems, and algorithms to understand both structured and unstructured data through observation. That understanding is then utilized by businesses, the government, and other such entities to enhance profits, innovate new products and services, enhance public service processes, and so on.<\/p>\n\n\n\n

Data science is a field that combines several things to mine data for its usefulness, including statistics, data analysis, scientific methods, artificial intelligence, and many other fields. Knowledge applied in different ways enables data scientists and data engineers to sift through and formulate data from diverse external and internal systems, such as the internet, consumer and mobile devices, and so forth.<\/p>\n\n\n\n

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