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  2. Weka (software) - Wikipedia

    en.wikipedia.org/wiki/Weka_(software)

    Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License.It was developed at the University of Waikato, New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".

  3. Orange (software) - Wikipedia

    en.wikipedia.org/wiki/Orange_(software)

    Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.

  4. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    Pandas – High-performance computing (HPC) data structures and data analysis tools for Python in Python and Cython (statsmodels, scikit-learn) Perl Data Language – Scientific computing with Perl; Ploticus – software for generating a variety of graphs from raw data; PSPP – A free software alternative to IBM SPSS Statistics

  5. Category:Free data analysis software - Wikipedia

    en.wikipedia.org/wiki/Category:Free_data...

    Free data visualization software (21 P) Pages in category "Free data analysis software" The following 18 pages are in this category, out of 18 total.

  6. List of open-source bioinformatics software - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source...

    Scientific workflow and data integration system Unix-like: Academic Free: Collaborative project GenePattern: Scientific workflow system that provides access to hundreds of genomic analysis tools Unix-like (public server); Linux, macOS, Windows: MIT: Broad Institute, UC San Diego: Geworkbench: Genomic data integration platform Linux, macOS, Windows

  7. 5 tech CFOs predict how AI will shape finance - AOL

    www.aol.com/finance/5-tech-cfos-predict-ai...

    We are seeing many potent use cases for AI to drive operational efficiency including data classification, predictive and scenario analytics, fraud detection, compliance testing, and contract analysis.

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