Advanced Analytics
Advanced Analytics is the application of complex methods and algorithms to extract insights from data. It involves the use of statistical models, machine learning algorithms, and data mining techniques to analyze large and complex datasets. Advanced Analytics goes beyond traditional business intelligence by providing deeper insights and predictions that can help organizations make better decisions. It includes techniques such as predictive modeling, data visualization, text analytics, and optimization. Advanced Analytics is used in various industries such as healthcare, finance, marketing, and manufacturing to improve operations, reduce costs, and increase revenue.
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- Anomalies Detection: Anomalies detection is the process of identifying data points that deviate from the expected pattern or behavior of a given dataset. In data science and artificial intelligence, anomalies detection is used to identify outliers, errors, or u ... Read More >>
- Categorical Variable: In data science, a categorical variable is a variable that can take on one of a limited, and usually fixed, number of possible values, known as categories or levels. These categories can be nominal, ordinal, or binary. Nominal categories ar ... Read More >>
- Formal Languages: In the context of data science and artificial intelligence, formal languages refer to a set of rules and symbols used to represent information in a structured and unambiguous way. These languages are used to define the syntax and semantics ... Read More >>
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News Source: Business Insider on 2025-02-21
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News Source: Business Insider on 2025-02-20
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News Source: Al Jazeera English on 2025-02-20