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  2. PayScale - Wikipedia

    en.wikipedia.org/wiki/Payscale.com

    Payscale was developed to help people and businesses obtain accurate, real-time information on job market compensation. While Payscale started by crowdsourcing compensation data from employees to power its products for employers, its Software as a Service offerings have evolved to allow businesses to utilize multiple compensation data sources, including Payscale's Crowdsourced and Company ...

  3. 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]

  4. General Schedule (US civil service pay scale) - Wikipedia

    en.wikipedia.org/wiki/General_Schedule_(US_civil...

    The pay scale was originally created with the purpose of keeping federal salaries in line with equivalent private sector jobs. Although never the intent, the GS pay scale does a good job of ensuring equal pay for equal work by reducing pay gaps between men, women, and minorities, in accordance with another, separate law, the Equal Pay Act of 1963.

  5. Data stream mining - Wikipedia

    en.wikipedia.org/wiki/Data_stream_mining

    Data Stream Mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining can be read only once or a small number of times using limited computing and storage capabilities.

  6. Master in Data Science - Wikipedia

    en.wikipedia.org/wiki/Master_in_Data_Science

    A Master of Science in Data Science is an interdisciplinary degree program designed to provide studies in scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, [1] [2] similar to data mining.

  7. Feature scaling - Wikipedia

    en.wikipedia.org/wiki/Feature_scaling

    Feature standardization makes the values of each feature in the data have zero-mean (when subtracting the mean in the numerator) and unit-variance. This method is widely used for normalization in many machine learning algorithms (e.g., support vector machines , logistic regression , and artificial neural networks ).

  8. Computer science - Wikipedia

    en.wikipedia.org/wiki/Computer_science

    Computer science is the study of computation, information, and automation. [1] [2] [3] Computer science spans theoretical disciplines (such as algorithms, theory of computation, and information theory) to applied disciplines (including the design and implementation of hardware and software).

  9. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]