Category: Data Science

Author: Vincent Granville We discuss a simple trick to significantly accelerate the convergence of an algorithm when the error term decreases in absolute value over […] Read More

Author: mtdearing As the global economy dwindles, tech companies are hiring en masse. Now is the time to get yourself noticed as a Data Scientist […] Read More

Author: William Vorhies Summary:  Analytic Platforms are rapidly being augmented with features previously reserved for data scientists.  They are presented as easy to use but […] Read More

Author: /u/Omega037 Welcome to the DS Topic of the Week! This week’s topic is What parts of Data Science are real and what is just […] Read More

Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More

Author: mtdearing AI tools and services are expanding at a rapid clip, and keeping a handle on this evolving ecosystem is crucial for the success […] Read More

Author: ajit jaokar   For the first time, I taught an AI for Cyber Security course at the University of Oxford.   I referred to […] Read More

Author: Matt Mayo Editor This year’s KDD Cup features four distinct tracks that welcome participants to tackle challenges in e-commerce, generative adversarial networks, automatic graph […] Read More

Author: Filip Stachura This is the second of two articles about our recent participation in the Pandemic Response Hackathon. Our project (CoronaRank) was one of […] Read More

Author: Matt Mayo Editor Also: A Concise Course in Statistical Inference: The Free eBook; ML Ops: Machine Learning as an Engineering Discipline; Learning during a […] Read More