- 3 Mathematical Laws Data Scientists Need To Know - Mar 2, 2021.
Machine learning and data science are founded on important mathematics in statistics and probability. A few interesting mathematical laws you should understand will especially help you perform better as a Data Scientist, including Benford's Law, the Law of Large Numbers, and Zipf's Law.
- DIY Election Fraud Analysis Using Benford’s Law - Sep 15, 2020.
In this article, we will talk about a Do-It-Yourself approach towards election analysis and coming to a conclusion whether the elections were conducted fairly or not.
- KDnuggets™ News 19:n30, Aug 14: Know Your Neighbor: Machine Learning on Graphs; 12 NLP Researchers, Practitioners You Should Follow - Aug 14, 2019.
Machine Learning on Graphs; 12 amazing leaders in NLP; Deep Learning for NLP explained, including ANNs, RNNs and LSTMs; Benford's Law and why is it important for data science; Key concepts in Andrew Ng "Machine Learning Yearning".
- What is Benford’s Law and why is it important for data science? - Aug 7, 2019.
Benford’s law is a little-known gem for data analytics. Learn about how this can be used for anomaly or fraud detection in scientific or technical publications.
- Systematic Fraud Detection Through Automated Data Analytics in MATLAB - Aug 27, 2015.
Fraud detection is one of the most challenging use case considering the number of factors it depend on. Here, we demonstrate how using hedge fund data in MATLAB you can automate the process of acquiring and analyzing fraud detection data.
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- Top KDnuggets tweets, Dec 22-23: Great list: 20 new data viz tools of 2014; Review of “Learning from Data” MOOC - Dec 24, 2014.
Review of #MOOC Learning from Data (#MachineLearning) - the class that changed everything; #DeepLearning is like Renormalization: deep link between physics, biology, ML; Great list: 20 new #data #viz tools of 2014; "Back to the drawing board" - first appeared in New Yorker cartoon in 1941.