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  2. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Data presentation architecture weds the science of numbers, data and statistics in discovering valuable information from data and making it usable, relevant and actionable with the arts of data visualization, communications, organizational psychology and change management in order to provide business intelligence solutions with the data scope ...

  3. Brushing and linking - Wikipedia

    en.wikipedia.org/wiki/Brushing_and_linking

    In databases, brushing and linking is the connection of two or more views of the same data, such that a change to the representation in one view affects the representation in the other. [1] Brushing and linking is also an important technique in interactive visual analysis , a method for performing visual exploration and analysis of large ...

  4. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is an interdisciplinary academic field [1] that uses statistics, scientific computing, scientific methods, processing, scientific visualization, algorithms and systems to extract or extrapolate knowledge from potentially noisy, structured, or unstructured data.

  5. LinkedIn - Wikipedia

    en.wikipedia.org/wiki/LinkedIn

    In July 2011, LinkedIn launched a new feature allowing companies to include an "Apply with LinkedIn" button on job listing pages. [139] The new plugin allowed potential employees to apply for positions using their LinkedIn profiles as resumes. [139] LinkedIn can help small businesses connect with customers. [140]

  6. KNIME - Wikipedia

    en.wikipedia.org/wiki/KNIME

    Weka – machine-learning algorithms that can be integrated in KNIME; ELKI – data mining framework with many clustering algorithms; Keras - neural network library; Orange - an open-source data visualization, machine learning and data mining toolkit with a similar visual programming front-end; List of free and open-source software packages

  7. Decision tree learning - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_learning

    Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations.

  8. Trailblazers In Finance: Lessons From The Success ... - AOL

    www.aol.com/lifestyle/trailblazers-finance...

    The focus should be on sophisticated algorithms, data visualization techniques, and machine learning models. With those managers can identify patterns, uncover hidden risks, and gain a competitive ...

  9. Software visualization - Wikipedia

    en.wikipedia.org/wiki/Software_visualization

    Software visualization [1] [2] or software visualisation refers to the visualization of information of and related to software systems—either the architecture of its source code or metrics of their runtime behavior—and their development process by means of static, interactive or animated 2-D or 3-D [3] visual representations of their structure, [4] execution, [5] behavior, [6] and evolution.

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