https://www.kdnuggets.com/2021/07/date-pre-processing-feature-engineering-python.html
Blog
Tutorial: KDnuggets – Terence Shin – 11 Important Probability Distributions Explained
https://www.kdnuggets.com/2021/07/11-important-probability-distributions-explained.html#.YPb-Fmd56mc.linkedin
Tutorial: Stanford – Shervine Amidi – Cheatsheets for ML and DS
https://stanford.edu/~shervine/
Book: montreal.ai – AI4ALL
https://montreal.ai/ai4all.pdf
Tutorial: Microsoft – ML for beginners
https://github.com/microsoft/ML-For-Beginners
Tutorial: machinelearningmastery – Data Preparation Techniques for Machine Learning
https://machinelearningmastery.com/data-preparation-techniques-for-machine-learning/
Blog: databricks – Feature Engineering at Scale
https://databricks.com/blog/2021/07/16/feature-engineering-at-scale.html
Paper: Vaswani et al. – Attention is All You Need
https://arxiv.org/abs/1706.03762
Tutorial: Stanford – MLSys Series
https://www.youtube.com/channel/UCzz6ructab1U44QPI3HpZEQ/featured