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  • Load image data to the cloud 
  • Written initial ECL code
  • Trained a model with HPCC Systems GNN with some initial result
Mentor

Mentor: David De Hilster
Contact Details<David.Dehilster@lexisnexisrisk.com>

Backup Mentor: Xiaoming Wang
Contact DetailsFortil, Godson  <Godson.Fortil@lexisnexisrisk.com>

Skills needed
  • Docker and Kubernetes
  • Git, CMake
  • Build ROS package
  • HPCC Systems Platform and ECL
  • Python, Unix Bash,
  • Machine Learning, Neural Networks, particularly Convolution Neural Networks (CNN)
  • Kera, TensorFlow
  • Ability to build and test the HPCC system (guidance will be provided).
  • Ability to write test code. Knowledge of ECL is not a requirement since it should be possible to re-use existing code with minimal changes for this purpose. Links are provided below to our ECL training documentation and online courses should you wish to become familiar with the ECL  language.
Deliverables

Midterm

  • Load image data to the cloud 
  • Written initial ECL code
  • Trained a model with HPCC Systems GNN with some initial result

End of project

  • Tuning hyperparameters to improve model training.
  • Documentation
  • A complete github project
Other resources