Jordan Nelson

Jordan Nelson

Research Student

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Research interests

My research interests include machine (ML) and deep learning (DL). Through my undergraduate degree I have worked with a variety of tasks, including but not limited to: NLP, sentiment analysis, classification and regression problems, MLP & neural networks. Both in ML and Deep Learning scenarios. I am open to any and all applications of ML and DL, but in relation to my PhD research, I have a bias towards Automated Machine Learning (AutoML). I am specifically researching new methodologies in AutoML after having identified fundamental problems with popular AutoML approaches, such as AWS, Google, IBM & Oracle, that make AI/ML readily available to consumers and business, at the cost of unreliability when compared to an expert created approach. My methodology will work on a lower level than the prior named services, and introduce a mix of AutoML and expert knowledge to alleviate this issue. 

Education/Academic qualification

Bachelor, University of Brighton

Award Date: 10 Jul 2022

Keywords

  • QA76 Computer software
  • Machine Learning
  • Automated Machine Learning
  • Deep Learning
  • Meta-Learning
  • Computer Science
  • Artificial Intelligence
  • Neural Networks
  • NAS

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