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  2. Learn the basics of data science with this stacked online ...

    www.aol.com/learn-basics-data-science-stacked...

    This online data science training features 55 hours of content on Excel, VBA, Python, Machine Learning, and so much more. There's 13 courses total, and by the end, you'll know a thing or two about ...

  3. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. [1] High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to ...

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    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!

  5. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]

  6. Data diplomacy - Wikipedia

    en.wikipedia.org/wiki/Data_Diplomacy

    The new infrastructure, the Innovation Observatory, will bring together data (and metadata) from different disciplines and integrate them through a linked data, multi-layered approach. [7] Science Diplomacy 2.0" is thus a new model of science diplomacy driven by data. Data and metadata play a key role in the reform of the science diplomacy model.

  7. Data sanitization - Wikipedia

    en.wikipedia.org/wiki/Data_sanitization

    PPDM has a wide range of uses and is an integral step in the transfer or use of any large data set containing sensitive material. Data sanitization is an integral step to privacy preserving data mining because private datasets need to be sanitized before they can be utilized by individuals or companies for analysis.

  8. Social data science - Wikipedia

    en.wikipedia.org/wiki/Social_data_science

    Social data science is an interdisciplinary field that addresses social science problems by applying or designing computational and digital methods.As the name implies, Social Data Science is located primarily within the social science, but it relies on technical advances in fields like data science, network science, and computer science.

  9. United Nations Global Pulse - Wikipedia

    en.wikipedia.org/wiki/United_Nations_Global_Pulse

    The United Nations Global Pulse was launched in 2009 as an information initiative by the Executive Office of the United Nations Secretary-General. [1] In August 2013, the New York Times reported that Global Pulse had its main "Pulse Lab" in New York City, with a staff of 14 there, plus a staff of 10 in their lab in Jakarta, Indonesia and 8 in their lab in Kampala, Uganda. [2]