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  2. 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]

  3. Data Analytics Library - Wikipedia

    en.wikipedia.org/wiki/Data_Analytics_Library

    Data transformation through matrix decomposition: DAAL provides Cholesky, QR, and SVD decomposition algorithms. Outlier detection: Identifying observations that are abnormally distant from typical distribution of other observations. Training and Prediction. Regression. Linear regression: The simplest regression method. Fitting a linear equation ...

  4. C (programming language) - Wikipedia

    en.wikipedia.org/wiki/C_(programming_language)

    This is an accepted version of this page This is the latest accepted revision, reviewed on 6 January 2025. General-purpose programming language "C programming language" redirects here. For the book, see The C Programming Language. Not to be confused with C++ or C#. C Logotype used on the cover of the first edition of The C Programming Language Paradigm Multi-paradigm: imperative (procedural ...

  5. List of programming languages for artificial intelligence

    en.wikipedia.org/wiki/List_of_programming...

    It is mostly used for numerical analysis, computational science, and machine learning. [6] C# can be used to develop high level machine learning models using Microsoft’s .NET suite. ML.NET was developed to aid integration with existing .NET projects, simplifying the process for existing software using the .NET platform.

  6. KNIME - Wikipedia

    en.wikipedia.org/wiki/KNIME

    KNIME (/ n aɪ m / ⓘ), the Konstanz Information Miner, [2] is a free and open-source data analytics, reporting and integration platform.KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept.

  7. LinkedIn Learning - Wikipedia

    en.wikipedia.org/wiki/LinkedIn_Learning

    LinkedIn Learning was founded as Lynda.com in 1995 in Ojai, California, as online support for the books and classes of Lynda Weinman, a special effects animator and multimedia professor who founded a digital arts school with her husband, artist Bruce Heavin.

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    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  9. openHPI (Online Education) - Wikipedia

    en.wikipedia.org/wiki/OpenHPI_(Online_Education)

    The first course covered the topic of In-Memory Data Management and was given by the founder of the HPI, Hasso Plattner. In 2017, five years after its launch, openHPI reached the benchmark of 400,000 enrollments. [2] Among other things, the courses contain the following topics: In-Memory Data Management; Internetworking with TCP/IP