- Monday 4th
- 8:30-9:00 Gym+Watch UCL Reinforcement Learning videos (2.5 hours remain)
- 10:00-12:00 Bayesian Data Analysis (read and do exercises)
- 12:00-13:00 Lunch
- 13:00-17:00 RL Coursework 1 + 2
- Tuesday 5th
- 8:30-9:00 Gym+Watch UCL Reinforcement Learning videos (2 hours remain)
- 10:00-12:00 Bayesian Data Analysis (read and do exercises)
- 12:00-13:00 Lunch
- 13:00-17:00 RL Coursework 2 + 3
- Wednesday 6th
- ALL DAY: LTV conference
- Thursday 7th
- 8:30-9:00 Recovery time
- 10:00-12:00 Bayesian Data Analysis (read and do exercises)
- 12:00-13:00 Lunch
- 13:00-17:00 Kaggle: Pick comptetion. Download data and make readers/writers, submit dummy results
- Friday 8th
- 8:30-9:00 Gym+Watch UCL Reinforcement Learning videos (1.5 hours remain)
- 10:00-12:00 Bayesian Data Analysis (read and do exercises)
- 12:00-13:00 Lunch
- 13:00-17:00 Kaggle: Apply simple model
- Monday 11th
- 8:30-9:00 Gym+Watch UCL Reinforcement Learning videos (1 hours remain)
- 10:00-12:00 Bayesian Data Analysis (read and do exercises)
- 12:00-13:00 Lunch
- 13:00-17:00 Kaggle
- Tuesday 12th
- 8:30-9:00 Gym+Watch UCL Reinforcement Learning videos (0.5 hours remain)
- 10:00-12:00 Bayesian Data Analysis (read and do exercises)
- 12:00-13:00 Lunch
- 13:00-17:00 Kaggle
- Wednesday 13th
- 8:30-9:00 Gym+Watch UCL Reinforcement Learning videos (complete)
- 10:00-12:00 Bayesian Data Analysis (read and do exercises)
- 12:00-13:00 Lunch
- 13:00-17:00 Kaggle
- Thursday 14th
- 8:30-9:00 Gym+Video TBD
- 10:00-12:00 Bayesian Data Analysis (read and do exercises)
- 12:00-13:00 Lunch
- 13:00-17:00 Kaggle
- Friday 15th
- 8:30-9:00 Gym+Video TBD
- 10:00-12:00 Bayesian Data Analysis (read and do exercises)
- 12:00-13:00 Lunch
- 13:00-17:00 Kaggle: Final push+submission
Created
July 2, 2016 16:43
-
-
Save almost/72c12137e9efd1176a3f45c9cb001212 to your computer and use it in GitHub Desktop.
My plan for the next 2 weeks of solid learning. I doubt I'll stick to it exactly but it gives me a framework to start with
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment