The Data Visualisation Catalogue

DECEMBER 13, 2021

Journal of Experimental Psychology: Applied, 4 (2), 119–138. Eurographics Conference on Visualization (EuroVis) , 34. Bar charts and box plots. Streit, M., & Gehlenborg, N. Nature Methods, 11 (2), 117. Four Experiments on the Perception of Bar Charts. Setlur, V., & Anand, A. Memory & Cognition, 27 (6), 1073–1079.

Visualization 118

Visualization Experimentation Publishing Interactive 118

The Unofficial Google Data Science Blog

APRIL 23, 2024

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Octopai

MAY 2, 2022

Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates.

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

Alation

SEPTEMBER 28, 2022

DataOps as a term was brought to media attention by Lenny Liebmannin 2014, then popularized by several other thought leaders. Technical environments and IDEs must be disposable so that experimental costs can be kept to a minimum. Over the past 5 years, there has been a steady increase in interest in DataOps. Source: Google Trends.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

CIO Business Intelligence

NOVEMBER 4, 2022

billion company’s scientific, commercial, and manufacturing businesses since joining the company in 2014. The company’s multicloud infrastructure has since expanded to include Microsoft Azure for business applications and Google Cloud Platform to provide its scientists with a greater array of options for experimentation.

Data Lake 120

Data Lake IT Experimentation Data-driven 120

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. This algorithm is implemented in the SuperLearner R package (Polley & van der Laan, 2014). 2014): 243-263. Eric Polley and Mark van der Laan (2014). 2012): 25-46.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Ensure a culture that supports a steady process of learning and experimentation. Resilience: “It’s hard to quell curiosity.”.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66