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  2. List of spreadsheet software - Wikipedia

    en.wikipedia.org/wiki/List_of_spreadsheet_software

    Sourcetable [9] – AI spreadsheet that generates formulas, charts, SQL, and analyzes data. ThinkFree Online Calc – as part of the ThinkFree Office online office suite, using Java; Quadratic - A source available online spreadsheet for technical users, supporting Python, SQL, and Formulas.

  3. Origin (data analysis software) - Wikipedia

    en.wikipedia.org/wiki/Origin_(data_analysis...

    Data analyses in Origin include statistics, signal processing, curve fitting and peak analysis. Origin's curve fitting is performed by a nonlinear least squares fitter which is based on the Levenberg–Marquardt algorithm. Origin imports data files in various formats such as ASCII text, Excel, NI TDM, DIADem, NetCDF, SPC, etc.

  4. IBM Watsonx - Wikipedia

    en.wikipedia.org/wiki/IBM_Watsonx

    Watsonx.data is a platform designed to assist clients in addressing issues related to data volume, complexity, cost, and governance as they scale their AI workloads [14]. This platform facilitates seamless data access, whether the data is stored in the cloud or on-premises, through a single entry point, offering simple use for users who may not ...

  5. OLAP cube - Wikipedia

    en.wikipedia.org/wiki/OLAP_cube

    An OLAP cube is a multi-dimensional array of data. [1] Online analytical processing (OLAP) [ 2 ] is a computer-based technique of analyzing data to look for insights. The term cube here refers to a multi-dimensional dataset, which is also sometimes called a hypercube if the number of dimensions is greater than three.

  6. Microsoft plans to invest $80 billion on AI-enabled data ...

    www.aol.com/news/microsoft-plans-spend-80...

    (Reuters) -Microsoft is planning to invest about $80 billion in fiscal 2025 on developing data centers to train artificial intelligence (AI) models and deploy AI and cloud-based applications, the ...

  7. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Then, analyze the source data to determine the most appropriate data and model building approach (models are only as useful as the applicable data used to build them). Select and transform the data in order to create models. Create and test models in order to evaluate if they are valid and will be able to meet project goals and metrics.

  8. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

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