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On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

These are the so-called supercomputers, led by a smart legion of researchers and practitioners in the fields of data-driven knowledge discovery. As of 2017, the fastest computers have reached a speed of 93 PetaFLOPS, which is: 93×1015, or 93,000,000,000,000,000 operations per second. Certainly not!

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, 73–79. Indeed, in the original paper Chawla et al. Cost, S., & Salzberg, S. link] Fisher, R.

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2017. [4] Henne, and Dan Sommerfield. 2] Scott, Steven L. 2015): 37-45. [3] 3] Hill, Daniel N., 2015): 37-45.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

In IJCAI 2017 Workshop on Explainable Artificial Intelligence (XAI), pages 24–30, Melbourne, Australia, 2017. Conference on Knowledge Discovery and Data Mining, pp. References. Maria Fox, Derek Long, and Daniele Magazzeni. Explainable planning. International Joint Conferences on Artificial Intelligence, Inc. Ribeiro, M.

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