For new starters

• Get a student ID
  • If not provided with one on your start day, contact your supervisor about how to get this.
• Get an IT account (if not provided with one on start)
  • To get an IT account, email ITServicedesk@sussex.ac.uk
• Get access to our compute resource
  • For more information, see GPU machines
• Get added to slack
  • Get access by emailing David Weir ( d.j.weir@sussex.ac.uk )
  • Don’t forget to join the #social channel!
• Get added to the TAG/PAL Team Calendar
  • Get access by emailing David Weir ( d.j.weir@sussex.ac.uk )
• Get added to GitHub
  • Our organization name is predictive-analytics-lab
  • Take a look at out our private wiki repository
• Get added to Server Side Jupyter Notebooks
  • Message Thomas or Oliver for access ( @thomas_k or @oliver on Slack )
• Add your picture to our website
  • Our website is hosted on GitHub. This is the repository.
• Coffee Meetings
  • Get to know people in the group. Message them and arrange to go for a coffee.
• Books
  • Make sure you read one of [‘clean code’, ‘code complete’]. Clean code is available at the PAL library, along with an assortment of other interesting books (Sutton and Barto 2018 being of note for those prospective RL aficionados amongst you) and paper printouts. Don’t hesitate to consult our reasonably well-informed library staff for recommendations.
• Suggested Reading for your first week

  • How to write ML papers: Heuristics for Scientific Writing (a Machine Learning Perspective)

  • Useful resource: How to do Research

• Create a Web Profile via Sussex Direct
  • Sussex Direct > Personal > Web Profile
  • (Optional) in addition to this, sometimes it is useful to have a personal website. This template might be useful to get you started if this is something you’d like to do.
• Useful Tools: The following tools are used widely within the group. Getting familiar with the following will make collaborating easier.
  • Git
  • LaTeX