erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. The Top 6 Benefits of Data Governance.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Cloudera

FEBRUARY 23, 2023

Since the 1990s, opioid abuse in the US skyrocketed to the point that in 2017 the Department of Health and Human Services declared the opioid crisis a public health emergency. With the Controlled Substance Analytics platform online, KMC has eliminated manual data collection and streamlined data processing.

Data Analytics 76

Data Analytics Analytics Data Processing Risk 76

IBM Big Data Hub

MAY 26, 2023

According to a report on mapping the cloud maturity curve from the EIU , 48% of industry executives said cloud has improved data access, analysis and utilization, 45% say cloud has sped up delivery of new IT services and capabilities, and 44% say cloud has expanded sales channels across digital avenues.

Consulting 77

Consulting Cost-Benefit Optimization Machine Learning 77

The Unofficial Google Data Science Blog

APRIL 17, 2017

Facebook in a recent blog post unveiled Prophet , which is also a regression-based forecasting tool. They can arise from data collection errors or other unlikely-to-repeat causes such as an outage somewhere on the Internet. The regression-based bsts framework can handle predictor variables, in contrast to our approach.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

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. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

MAY 20, 2021

Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. This carries the risk of this modification performing worse than simpler approaches like majority under-sampling. Chawla et al.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? The ability to measure results (risk-reducing evidence).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66