Pattern recognition and machine learning

Working with pattern recognition and machine learning platforms allows organizations to extract information from big data. This core AI technology can be tricky, but extremely beneficial for enterprises. Read about machine learning best practices and techniques to uncover valuable predictive insights.

Pattern recognition and machine learning News

  • January 06, 2020 06 Jan'20

    U.S. restricts exports of geospatial AI software

    The Trump administration's move to limit export of AI-based geospatial imaging software extends U.S. restrictions on technology that foreign countries could use to develop weapons systems.

  • October 30, 2019 30 Oct'19

    The importance of AI for fraud prevention

    As fraudsters become increasingly more professional and technologically advanced, financial organizations need to rely on products that use AI for to prevent fraud.

  • September 25, 2019 25 Sep'19

    Cambridge Consultants demos show uses of AI

    At a demo event, Cambridge Consultants highlighted some of the applications of AI with a system that can count TB cells in a sputum sample and a system that can fix image distortion.

  • July 02, 2019 02 Jul'19

    Open source machine learning accelerates winemaking

    Using open source machine learning, Palmaz Vineyards developed a tool to automatically alert winemakers of environmental conditions. Soon, the data flowed like wine.

Pattern recognition and machine learning Get Started

Bring yourself up to speed with our introductory content

  • machine teaching

    Machine teaching is the emerging practice of infusing context -- and often business consequences -- into the selection of training data used in artificial intelligence (AI) machine learning so that the most relevant outputs are produced by the ... Continue Reading

  • face detection

    Face detection -- also called facial detection -- is an artificial intelligence (AI) based computer technology used to find and identify human faces in digital images. Continue Reading

  • The peaks and pitfalls of hyper-personalization marketing

    As consumers begin to revolt against unlimited personal data collection and usage, the longevity of hyper-personalized communication may be cut short. Continue Reading

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