Big Data Analytics
Big Data Analytics is the process of examining large and complex data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. It involves the use of advanced analytics technologies such as machine learning, natural language processing, and predictive analytics to extract insights from data. Big Data Analytics helps organizations to make data-driven decisions, improve operational efficiency, and gain a competitive advantage. It involves the collection, storage, processing, and analysis of large volumes of structured and unstructured data from various sources such as social media, sensors, and transactional systems.
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- Data Allocation: Data allocation refers to the process of assigning data to specific storage locations in a computer system. In data science, data allocation is an important aspect of data management, as it determines how data is stored and accessed. The go ... Read More >>
- Permutation Importance: Permutation Importance is a method used to determine the importance of features in a machine learning model. It works by randomly shuffling the values of a feature and measuring the resulting decrease in the model's performance. The greater ... Read More >>
- Aggregation: Aggregation is a process in data science that involves the collection, gathering, and summarization of data from multiple sources. It is a crucial step in data analysis as it helps in understanding the overall trends and patterns in the dat ... Read More >>
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News Source: CNN on 2025-01-18
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