If you feel overwhelmed or have questions, ask on our slack!
python3. If a shell opens, note the version number. For Tensorflow to work effectively, we recommend using at least Python 3.6.7.
pip install gym. If this doesn’t work, try the variants:
python -m pip install gymor
py -m pip install gymor
pip3 install gym. This will be dependent upon what command you type in the shell to make Python run.
pip install jupyter[see variants above].
|Course Name||Course Number||Days and Time|
|Intelligent Systems||CMPUT 366||MWF 11:00-11:50|
|Reinforcement Learning||CMPUT 397||MWF 1:00-1:50|
|Search Simulation and Knowledge||CMPUT 455||TR 2:00-3:20|
|Machine Learning||CMPUT 466||TR 11:00-12:20|
|Game AI||CMPUT 296||MWF 11:00-11:50|
|Basics of ML||CMPUT 296||TR 2:00-3:20|
Machine Learning with Andrew Ng, Stanford University Universally recommended machine learning lectures by Andrew Ng, for beginner and intermediate level machine learning.
Elements of AI Free online course made by the University of Helsinki and Reaktor.
Reinforcement Learning with David Silver Older but popular lecture series by lead DeepMind researcher David Silver at King’s College London. Follows along with the first edition of Introduction to RL by Sutton and Barto.
Deep Learning and Reinforcement Learning Summer School 2018 These are the lecture videos from the 2018 DLRL summer school, held by CIFAR, Amii, and the Vector Institute in Toronto. The DLRL summer school is pretty competitive, but the lectures actually vary from introductory to advanced. Links to the slides are also included on the video pages.
Advanced Deep Learning and Reinforcement Learning with DeepMind A brand new lecture series (2018) done at UCL by a bunch of DeepMind staff.
Compiled r/MachineLearning Links This is a compilation of links created by the Machine Learning subreddit on reddit, containing various free resources