Tag - University

12 Useful Things to Know About Machine Learning

This is a summary of 12 key lessons that machine learning researchers and practitioners have learned include pitfalls to avoid, important issues to focus on and answers to common questions. By James Le, Machine Learning Engineer. comments Machine lea...

A Right to Reasonable Inferences

As shown in this paper, individuals are granted little control over how their personal data is used to draw inferences about them. Compared to other types, inferences are effectively ‘economy class’ personal data in the General Data Protection Regula...

AI Solutionism

Machine learning has huge potential for the future of humanity — but it won’t solve all our problems. comments By Dr Vyacheslav Polonski, University of Oxford THE GIST: Although media headlines imply we are already living in a future where AI has inf...

Are Vectorized Random Number Generators Actually Useful?

I reported that you can multiply the speed of common (fast) random number generators such as PCG and xorshift128+ by a factor of three or four by vectorizing them using SIMD instructions. Is this actually useful in practice? comments By Daniel Lemire...

Awesome Deep Learning: Most Cited Deep Learning Papers

This post introduces a curated list of the most cited deep learning papers (since 2012), provides the inclusion criteria, shares a few entry examples, and points to the full listing for those interested in investigating further. By Terry Taewoong Um,...

BiclustGUI 1.1.0

Share Tweet BiBitR enters the fray! Ewoud De Troyer, University of Hasselt (CenStat) Introduction The latest patch of the BiclustGUI includes the implementation of BiBitR, a simple R wrapper which directly calls the original Java code for applying th...