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15112 results for: ‘织梦dede5.7医院类妇科整形模板✅项目合作 二开均可 TG:saolei44✅.eBLgzCzjlA’

  • R for Data Science

    Module code: GY4472 In this module you will focus on the programming language R as an effective tool for data science.

  • Big Data and People Analytics

    Module code: MN3161 This module is designed to equip you with the knowledge and skills to harness the power of data for business and HRM.

  • Big Data and People Analytics

    Module code: MN3161 This module is designed to equip you with the knowledge and skills to harness the power of data for business and HRM.

  • Sol 0 Monday 6th August

    Posted by jbridges in Mars Science Laboratory Blog on August 6, 2012 1.30 am PDT   More images from the latest data relay.  We get to work – linking it to what we saw from the orbital images and describing what we see.

  • 8th January 2014 Sol 506

    Posted by jbridges in Mars Science Laboratory Blog on January 8, 2014 Its Stargazing Live at University of Leicester today.

  • gesisDataSearch: a Data Discovery Index for the Social Sciences

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on April 20, 2018 Now in beta, a new tool which will enable researchers to quickly identify high quality social and economic datasets.

  • Using Data and Analytics in HE

    Posted by Andrew Dunn in Social Sciences and Humanities Librarians’ Blog on July 29, 2022 Data and Analytics- EDUCAUSE 2022   This report from EDUCAUSE is useful in keeping track of recent and emerging technologies relating to data  and analytics in...

  • Data Mining and Neural Networks

    Module code: MA3022 This module will provide a comprehensive grounding in the structure of the data mining process and explain the basic notations and operations.

  • Data Mining and Neural Networks

    Module code: MA3022 This module will provide a comprehensive grounding in the structure of the data mining process and explain the basic notations and operations.

  • Data Mining and Neural Networks

    Module code: MA3022 This module will provide a comprehensive grounding in the structure of the data mining process and explain the basic notations and operations.

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