Corinium

JUNE 6, 2019

It is also important to have a strong test and learn culture to encourage rapid experimentation. What advances do you see in Visual Analytics in the next five years? There are three strong trends in Visual Analytics. Fractal’s 2018 Net Promoter Score is greater than 70.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Sisense

JULY 24, 2019

NLQ serves those users who are in a rush, or who lack the skills or permissions to model their data using visualization tools or code editors. Once both issues are addressed, the user can ask “how many customers are responsible for 80% of my Q1 2018 income compared to 2017?” Machine Intent vs. User Intent.

Analytics 89

Analytics Experimentation Metadata Big Data 89

Domino Data Lab

JUNE 13, 2019

Visually examine the poorest matches, trying to understand what the MNIST authors could have done differently to justify these differences without at the same time changing the existing close matches. 2018 , 2019 ], albeit on a different dataset and in a substantially more controlled setup. “In the same spirit as [Recht et al.,

Testing 83

Testing Data Science Experimentation Metadata 83

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. Figure 4: Visualization of a central composite design. Figure 2: Spreading measurements out makes estimates of model (slope of line) more accurate. production, default) values.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

O'Reilly on Data

APRIL 19, 2021

We’ll look at this later, but being able to reproduce experimental results is critical to any science, and it’s a well-known problem in AI. In contrast, in our 2018 report, Asia was behind in mature practices, though it had a markedly higher number of respondents in the “early adopter” or “exploring” stages. Maturity by Continent.

Enterprise 359

Enterprise Modeling Risk Manufacturing 359

Occam's Razor

JULY 24, 2018

I’ve intended to create a simple visual that absorbs the scale, complexity and many moving parts. I wanted to create a visual that would function as a diagnostic tool to determine if you are lost, trapped in a silo or wandering aimlessly. Ignore the metrics produced as an experimental exercise nine months ago.

Analytics 93

Analytics Metrics Strategy Measurement 93

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. I double-dare you not to visualize that cohort!

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66