https://www.infoq.com/minibooks/emag-handle-data-science
http://www.infoq.com/resource/minibooks/emag-handle-data-science/en/pdf/The-InfoQ-eMag-Getting-a-Handle-on-Data-Science.pdf

algo lists:
http://distill.pub/
https://github.com/distillpub
http://distill.pub/guide
https://github.com/distillpub/template

https://unsupervisedmethods.com/over-150-of-the-best-machine-learning-nlp-and-python-tutorials-ive-found-ffce2939bd78

http://www.kdnuggets.com/2016/08/10-algorithms-machine-learning-engineers.html
https://chatbotsmagazine.com/machine-learning-neural-networks-and-algorithms-5c0711eb8f9a
https://www.linkit.nl/knowledge-base/234/Machine_learning_neural_networks_and_algorithms
https://datafloq.com/read/12-algorithms-every-data-scientist-should-know/2024#datascience

samples:
https://github.com/eriklindernoren/ML-From-Scratch