Welcome to my Mental Palace
Welcome ! I store here the most valuable knowledge I've acquired and I'm glad you're interested in it. While I aim to present this information very pedagogically, my primary goal is in fact selfish: to remember and organize my learnings from life's grand school... think of this palace more as notes.
My pursuit of knowledge focuses on five core disciplines:
Mathematics: Enhancing logicPhysics: Understanding nature's workingsEconomics&Finance: Grasping societal connections in our DAMN capitalist worldComputer Science: Mastering humanity's current main toolMachine Learning: Preparing for tomorrow's revolution
This is a lifelong project, built on my degrees in physics and mathematics. My goal? To reach the equivalent of:
- a PhD in machine learning
- a master’s in physics and finance
- a bachelor’s in economics and computer science
Yeah… I'll not achieve this 😭.
But the beauty is in the journey: consistency, patience and seeing the connections between fields. Stay strong, don't cry, breathe deep 😮💨, and keep going.
I also like sociology, philosophy, and psychology. So maybe you will see some notes about these fields.
References
Machine Learning
- Modélisation statistique and Introduction à l’apprentissage non supervisé et supervisé, Christine Kéribin's Handouts [FR]
- An Introduction to Statistical Learning: with Applications in Python, James, Gareth, Witten, Daniela, Hastie, Trevor, Tibshirani
- The Elements of Statistical Learning, Rob Tibshirani and Jonathan Taylor
- Forecasting: Principles and Practice, Hyndman, R.J., & Athanasopoulos, G.
- Bandit Algorithms, Tor Lattimore, Csaba Szepesvári
- Reinforcement Learning: An Introduction, Richard S. Sutton and Andrew G. Barto
- Deep Learning, Ian Goodfellow and Yoshua Bengio and Aaron Courville
Physics
coming soon
Economics
- Introduction à l'économie, Vincent Drobinski [FR]
Finance
- Options, Futures And Other Derivatives, John Hull
- Finance d'entreprise, Pierre Vernimmen, Yann Le Fur, Pascal Quiry [FR]
Computer Science
coming (not) soon