Cloudera

APRIL 6, 2022

This blog post was written by Elizabeth Howell, Ph.D But first it must pass a rigorous, months-long commissioning period to make sure that the data will get back to Earth properly. The process (in an ideal world) begins up in space, when the satellite makes decisions on board about what to send back to Earth.

Big Data 103

Big Data Machine Learning Insurance Data Processing 103

Cloudera

AUGUST 17, 2023

Machine Learning (ML) is at the heart of the boom in AI Applications, revolutionizing various domains. Passengers would need to trust that the manufacturing process was as rigorous as the design process. However, issues arise when authors that lack a rigorous process compile their code into machine language, aka binaries.

Software 73

Software Manufacturing Risk Finance 73

Domino Data Lab

NOVEMBER 14, 2019

This Domino Data Science Field Note covers a proposed definition of interpretability and distilled overview of the PDR framework. James Murdoch, Chandan Singh, Karl Kumber, and Reza Abbasi-Asi’s recent paper, “Definitions, methods, and applications in interpretable machine learning” Introduction.

Modeling 71

Modeling Machine Learning Data Science Experimentation 71

Domino Data Lab

JANUARY 20, 2019

What if there was a way to quantitatively measure whether your machine learning (ML) model reflects specific domain expertise or potential bias? and intuitively what this means is if I make this picture more like the concept or a little less like the concept, how much would the probability of zebra change? TCAV Github.

Testing 63

Testing Modeling Machine Learning Data Science 63

Domino Data Lab

JULY 22, 2019

This blog post provides a concise session summary, a video, and a written transcript. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

IBM Big Data Hub

SEPTEMBER 13, 2023

The new approach offers considerable CapEx and OpEx savings for satellite constellation operators, and increased autonomy and decision-making capabilities at the edge with reduced dependence on ground systems. This was done with almost no ability to interpret other situational or environmental circumstances.

Modeling 102

Modeling Technology Machine Learning Data Processing 102