Week 13 - Apr 21
Thursday 4/1
Aniti RLVS - Deep Q-Networks and its variants
Collège de France - Algorithmes quantiques : quand la physique quantique défie la thèse de Church-Turing Leçon inaugurale
Friday 4/2
Aniti RLVS - From Policy Gradients to Actor Critic methods
Aniti RLVS - Policy Gradient in pratice
git to use socks server to github (to go through local firewall)
Week 14 - Apr 21
Wednesday 4/7
tabnet: pytorch (and fastai with Zach Mueller) implementations
Thursday 4/8
Aniti RLVS - Evolutionary Reinforcement Learning
Jupyter notebook turned into slides with RISE
Aniti RLVS - Micro-data Policy Search
Friday 4/9
Aniti RLVS - RL in Practice: Tips and Tricks and Practical Session With Stable-Baselines3
setup wsl-vpnkit to workaround wsl2 and network issues (explained here)
install wsl2-cuda-conda
Week 15 - Apr 21
Thursday 4/15
MIT 6S191 Learning for Information Extraction (lecture 9).
Week 16 - Apr 21
Tuesday 4/20
How To run macOS on KVM / QEMU
Wednesday 4/21
Enrolled to Machine learning in python with scikit-learn by scikit-learn team!
Audio classification with pytorch
Week 17 - Apr 21
Monday 4/26
datacamp - Bayesian Data Analysis in Python, at the end, Think Bayes 2 by Allen B.Downey
Tuesday 4/27
RL Course by David Silver Value Function Approximation (lecture 6)
MIT 6S191 Taming Dataset Bias (lecture 10)
Wednesday 4/28
datacamp - Exploratory Data Analysis in Python, by Allen B.Downey (that’s why)
Thursday 4/29
datacamp - Working with date and time, quite interesting to see timezones considerations.
Friday 4/30
datacamp - Cleaning data. Impressed by fuzzywuzzy and recordlinkage packages. End of this track (Data Scientist - new version)
MIT 6S191 Towards AI for 3D Content Creation (lecture 11) and AI in Healthcare (lecture 12) and this is the end of this course