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  2. Feature engineering - Wikipedia

    en.wikipedia.org/wiki/Feature_engineering

    Feature engineering in machine learning and statistical modeling involves selecting, creating, transforming, and extracting data features. Key components include feature creation from existing data, transforming and imputing missing or invalid features, reducing data dimensionality through methods like Principal Components Analysis (PCA), Independent Component Analysis (ICA), and Linear ...

  3. Structured Geospatial Analytic Method - Wikipedia

    en.wikipedia.org/wiki/Structured_Geospatial...

    The Structured Geospatial Analytic Method (SGAM): The data flow shows the transformation of raw information to reportable results. [ 13 ] The foraging loop recognizes that analysts tend to search for data by beginning with a broad set of data and then proceeding to narrow that set down into successfully smaller, higher-precision sets of data ...

  4. Data transformation (computing) - Wikipedia

    en.wikipedia.org/wiki/Data_transformation...

    Interactive data transformation (IDT) [13] is an emerging capability that allows business analysts and business users the ability to directly interact with large datasets through a visual interface, [9] understand the characteristics of the data (via automated data profiling or visualization), and change or correct the data through simple ...

  5. Data build tool - Wikipedia

    en.wikipedia.org/wiki/Data_build_tool

    Dbt enables analytics engineers to transform data in their warehouses by writing select statements, and turns these select statements into tables and views. Dbt does the transformation (T) in extract, load, transform (ELT) processes – it does not extract or load data, but is designed to be performant at transforming data already inside of a ...

  6. Intelligent transformation - Wikipedia

    en.wikipedia.org/wiki/Intelligent_transformation

    Intelligent transformation is the process of deriving better business and societal outcomes by leveraging smart devices, big data, artificial intelligence, and cloud technologies. Intelligent transformation can facilitate firms in gaining recognition from external investors, thereby enhancing their market image and attracting larger consumers ...

  7. These 5 Artificial Intelligence (AI) Stocks Make Up 28.8% of ...

    www.aol.com/finance/5-artificial-intelligence-ai...

    NVDA data by YCharts. A lot of the value those five companies created in 2024 came from their efforts in the artificial intelligence (AI) space. They are forecast to spend hundreds of billions of ...

  8. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...

  9. 1 No-Brainer Artificial Intelligence (AI) Stock Down 70% to ...

    www.aol.com/1-no-brainer-artificial-intelligence...

    Image source: Getty Images. SentinelOne is growing rapidly. SentinelOne generated a record $211 million in revenue during its fiscal 2025 third quarter (ended Oct. 31), which was a 28% increase ...