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. — Yann LeCun (@ylecun) May 29, 2019.

Testing 83

Testing Data Science Experimentation Metadata 83

FineReport

DECEMBER 19, 2019

At the same time, it also advocates visual exploratory analysis. The visualization component library of FineReport is very rich. It can be used as a portal for data reporting, or as a platform for business analysis. Data Analysis Libraries. Pandas is a Python data science library that is constantly improving.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

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

Decision Management Solutions

JUNE 25, 2019

She emphasized the importance to data science teams of business translation and of partnering with domain experts. It’s often hard to get domain expertise and data science skills in the same person – hence the need for translation. DecisionsFirst indeed! Finally, Shingai Manjengwa , CEO, Fireside Analytics Inc.

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Acquired by DataRobot June 2019).

Testing 307

Testing Machine Learning Consulting Data Quality 307

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. ML model interpretability and data visualization. back to the structure of the dataset.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105