OpenSource

How Open-source Companies Build Sustainable Revenue Models

Reading time: 6 minutesOpen-source software powers much of the modern world, but how do the companies behind it stay afloat? While some rely solely on open-source solutions, others combine open and proprietary models to build sustainable businesses. The relationship between a business and its software project also varies—some companies are founded alongside new open-source projects, while others emerge …

Nextflow

Nextflow and nf-core: Hot news!

Reading time: 7 minutesRead this post in Portuguese by clicking here. I write this post while I’m still in Spain, in the city of Barcelona. For those who haven’t been following me on social media, in July I finished my PhD in France and went straight to Barcelona, to do the onboarding week at Seqera Labs, the company …

BestLinks

Best links of the week #89

Reading time: 3 minutesBest links of the week from December 7th to February 22nd. Links Statistics 101 – Probability distributions (Shiny App). Graphoid. Fuzzy Logic Overview by Erik Horstkotte at his page. Fuzzy Expert Systems by Erik Horstkotte at his page. Fuzzy Environmental Control by Erik Horstkotte at his page. Align (LaTeX environment) at LaTeX Wiki.

BestLinks

Best links of the week #88

Reading time: 1 minuteBest links of the week from November 12nd to December 7th. Links Baldwin Effect at Wikipedia. Principal Component Analysis in 3 Steps by Sebastian Raschka at his website. Baffled by Covariance vs. Correlation? You’re Not Alone by Srishti Saha at builtin. Chi-Square Test of Independence in R at STHDA. Dealing with Model Assumption Violations. Accepted …

BestLinks

Best links of the week #87

Reading time: 3 minutesBest links of the week from September 2nd to November, 11th. Links Creative Thinking by Claude Shannon at Yousouf Naderi’s website. Latin Square Analysis of Variance at StatsDirect. BAYESIAN NETWORKS AND THE SEARCH FOR CAUSALITY at Ricardo Silva’s website. Triadic closure at Wikipedia. Balance theory at Wikipedia. The 5-Day Regression Challenge by Rachael Tatman at …

BestLinks

Best links of the week #86

Reading time: 3 minutesBest links of the week from August 2nd to September 21st Links Maximum Likelihood Estimates by Jeremy Orloff and Jonathan Bloom. Moravec’s paradox at Wikipedia. Parrondo’s paradox at Wikipedia. R-squared Cautions at STAT 462 (Applied Regression Analysis), PennState University. Spearman’s correlation. CausalCity: Introducing a high-fidelity simulation with agency for advancing causal reasoning in machine learning …

BestLinks, Causality, Data Science, PhD

Best links of the week #85

Reading time: 3 minutesBest links of the week from April 20th to August 1st (sorry for the delay 🙂 ) Links What is the difference between beta and correlation coefficient? at Quora. Is linear regression obsolete? at Cross Validated. Are linear models still useful at all? at r/datascience. Why Momentum Really Works at Distill. Who Learns Better Bayesian …

BestLinks, Data Science

Best links of the week #84

Reading time: 2 minutesBest links of the week from 13rd April to 19th April Links Causal Generative Machine Learning Minicourse at Altdeep. BELIEF IN THE LAW OF SMALL NUMBERS by Amos Tversky and Daniel Kahneman. Why Some Models Leak Data at PAIR EXPLORABLES. Moving Trends and Statistics in the US During the COVID-19 Pandemic at Moving Company Reviews. …

BestLinks

Best links of the week #83

Reading time: 2 minutesBest links of the week from 3rd November to 21st December This is probably the longest delay I had between two releases of my best links of the week. I hope you wall understand the difficulties I had to face in the past two months during this pandemic and for this I apologize. Have a …

BestLinks

Best links of the week #82

Reading time: 2 minutesBest links of the week from 19th October to 2nd November Links Programa Capacitação e Atualização em Abordagens do Espaço em Análises de Saúde Publica at ICICT – Fiocruz. Conditional probability: A Visual Explanation by Victor Powell. Biclustering at Wikipedia. Linear discriminant analysis at Wikipedia.