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  • Modelling Data

    Module code: MA7442 In this module, we'll explore the world of machine learning models, which are the essential tools for deriving reliable conclusions from data.

  • Modelling Data

    Module code: MA7442 In this module, we'll explore the world of machine learning models, which are the essential tools for deriving reliable conclusions from data.

  • Modelling Data

    Module code: MA7442 In this module, we'll explore the world of machine learning models, which are the essential tools for deriving reliable conclusions from data.

  • Diversity data

    Our strategic aim is to recognise and value diversity, ensure equity of opportunity, and enable all staff and students to flourish. Find out about our commitment to equity with our gender pay gap data and more.

  • DOCK businesses targeted for university-business collaborations

    As part of a drive to encourage collaborations between local innovation businesses and the University, the Enterprise and Business Development Office (EBDO) held a successful event at DOCK recently (29 June).

  • Physics students calculate how to take the perfect set piece

    To mark World Maths Day, The Big Bang UK Young Scientists & Engineers Fair is showcasing how relevant maths is by giving it real life application in advance of the resumption of Premier League fixtures, including the Champions’ trip to Chelsea (today).

  • Data processors

    Read more on the data processors used by the University of Leicester.

  • One in three people with Type 2 diabetes fail to take their medication research shows

    More than one in three people with Type 2 diabetes fail to take their medication, according to a new study by researchers from the Leicester Diabetes Centre.

  • Dawid Sych

    The academic profile of Dr Dawid Sych, Research Associate at University of Leicester

  • Thick Translation of Chin Ping Mei by David Roy: Type, Function and Features

    Find out more about our event: Thick Translation of Chin Ping Mei by David Roy: Type, Function and Features, with speaker Professor Xiuying Wen.

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