Tag: science

The 12 Truths of Machine Learning – by Delip Rao

The 12 Truths of Machine Learning – by Delip Rao

In this original blog, with equally original title, Delip Rao poses twelve (+1) harsh truths about the real world practice of machine learning. I found it quite enlightning to read a non-hyped article about ML for once. Particularly because Delip's experiences seem to overlap quite nicely with the principles of software design and Agile working. … Continue reading The 12 Truths of Machine Learning – by Delip Rao

Google's Dataset Search: Direct access to 25 million interesting datasets

Google's Dataset Search: Direct access to 25 million interesting datasets

I used to keep a repository of links to interesting datasets to learn data science. However, that page I can retire, as Google has launched its new service Dataset Search. The "world wide web" hosts millions of datasets, on nearly any topic you can think of. Google's Dataset Search has indexed almost 25 million of these … Continue reading Google's Dataset Search: Direct access to 25 million interesting datasets

How to Read Scientific Papers

How to Read Scientific Papers

Cover image via wikihow.com/Read-a-Scientific-Paper Reddit is a treasure trove of random stuff. However, every now and then, in the better groups, quite valuable topics pop up. Here's one I came across on r/statistics: https://www.reddit.com/r/statistics/comments/c8wh0l/how_can_i_get_better_at_reading_academic_papers Particularly the advice by grandzooby seemed worth a like, and he linked to several useful resources which I've summarized for you … Continue reading How to Read Scientific Papers

Overviews of Graph Classification and Network Clustering methods

Thanks to Sebastian Raschka I am able to share this great GitHub overview page of relevant graph classification techniques, and the scientific papers behind them. The overview divides the algorithms into four groups: FactorizationSpectral and Statistical FingerprintsDeep LearningGraph Kernels Moreover, the overview contains links to similar collections on community detection, classification/regression trees and gradient boosting papers with implementations. As … Continue reading Overviews of Graph Classification and Network Clustering methods

2019 Shortlist for the Royal Society Prize for Science Books

2019 Shortlist for the Royal Society Prize for Science Books

Since 1988, the Royal Society has celebrated outstanding popular science writing and authors. Each year, a panel of expert judges choose the book that they believe makes popular science writing compelling and accessible to the public. Over the decades, the Prize has celebrated some notable winners including Bill Bryson and Stephen Hawking. The author of the winning … Continue reading 2019 Shortlist for the Royal Society Prize for Science Books

Glossary of Statistical Terminology

Frank Harrel shared this 16-page glossary of statistical terminology created by the Department of Biostatistics of Vanderbilt University School of Medicine. The overview touches on everything from Bayes' Theorem to p-values, explaining matters in just the right detail. Various study designs and model types are also discussed so it might just come in handy for … Continue reading Glossary of Statistical Terminology