The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Crucially, it takes into account the uncertainty inherent in our experiments. the fraction of video recommendations resulted in positive user experiences).

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. Systems should be designed with bias, causality and uncertainty in mind.

Uncertainty 100

Uncertainty Measurement Metrics Risk 100

O'Reilly on Data

MARCH 31, 2020

Machine learning adds uncertainty. Underneath this uncertainty lies further uncertainty in the development process itself. There are strategies for dealing with all of this uncertainty–starting with the proverb from the early days of Agile: “ do the simplest thing that could possibly work.”

Management 327

Management Machine Learning Experimentation Metrics 327

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. Tactical vs strategic forecasts Forecasting problems may be usefully characterized on a continuum between tactical on the one hand, and strategic on the other. These characteristics of the problem drive the forecasting approaches.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

CIO Business Intelligence

JULY 7, 2023

The ITIL 4 was updated by Axelos in February 2019 to include a stronger emphasis on maintaining agility, flexibility, and innovation in ITSM, while still supporting legacy networks and systems. This module validates your ability to measure, assess, and develop the Service Desk practice capability using the ITIL Maturity Model.

Cost-Benefit 94

Cost-Benefit Strategy Management Uncertainty 94

Insight

FEBRUARY 19, 2020

In 2019, Netflix alone released 371 new TV shows and movies. The genre uniqueness is a measure of how unique a movie’s combination of genre categories is relative to all movies in my data set. Feature Selection and Engineering Most of the inputs to my model were taken either as is from the data source, or with minimal processing.

Risk 67

Risk ROI Modeling Metrics 67

Domino Data Lab

JUNE 2, 2019

Ludwig (@RandiRLudwig) May 23, 2019. Ludwig (@RandiRLudwig) May 24, 2019. Clearly, when we work with data and machine learning, we’re swimming in those waters of decision-making under uncertainty. — David Amable (@adelanyo) May 23, 2019. Measure how these decisions vary across your population.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110