Rocket-Powered Data Science

JULY 19, 2023

This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative. I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself.

Management 333

Management Machine Learning Experimentation Metrics 333

Anmut

OCTOBER 29, 2020

In a time of uncertainty, it also pressures decision-making bodies even more into making the right decision. These clarify how to certify COVID-19 as a cause of death, where it should be recorded, what terminology to use, how to code COVID-19 for mortality, and what variables and metadata are to be submitted to WHO.

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

O'Reilly on Data

FEBRUARY 11, 2020

The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. Key survey results: The C-suite is engaged with data quality. And that’s just the beginning.

Data Quality 305

Data Quality Metadata Data Governance Publishing 305

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. They learned about a lot of process that requires that you get rid of uncertainty. They’re being told they have to embrace uncertainty.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Occam's Razor

APRIL 8, 2013

Maybe they analyzed the metadata from pictures and found that there was a strong correlation between properties that rented often and expensive camera models. Remember that the raw number is not the only important part, we would also measure statistical significance. They might deal with uncertainty, but they're not random.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156