Useful Links

Reinforcement Learning

Key RL Papers: Influential papers in RL research.
Introduction to Reinforcement Learning: Excellent introduction to reinforcement learning.
UCL Course in RL: Popular course by David Silver.

Towards Model Explainability using SHAP: A new avenue in model explainability for ML models.
Maximum Likelihood and Maximum A Posterior Explained: Understanding these basic concepts in statistics.
The Data Science Lifecycle: A great overview of DS projects.
Recipe for Training Neural Networks: Hands-on tips and tricks.
Colah’s Blog: Excellent visual explanations and intuitions.
Guide to Feature Extraction: A practical guide to feature extraction.
Predictive Maintenance Solutions: Predictive maintenance from a machine learning perspective.
It’s not just p=0.048 vs. p=0.052: Another discussion about statistical significance.
Data Project Checklist: Data projects are much more than model accuracy.
Neat Visualisations: Visual explanations of statistical concepts.

C++ Quiz: Fun C++ puzzles.
C++ Annotations: Excellent C++ reference manual.
Teach Yourself to Program in 10 Years: A good reminder that mastery takes time.
String Formatting in Python 3: Advanced formatting techniques in Python 3.
The Missing Semester of Your CS Education: Essential productivity tools for programmers.
The Internals of PostgreSQL: A deep dive into PostgreSQL internals.