Jen Stirrup

JUNE 20, 2020

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. What does that say about the #SQLFamily?

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

BizAcuity

APRIL 28, 2019

is delinquent as of June 30th, 2017. By clubbing various techniques like data mining, machine learning, artificial intelligence and statistical modelling, it makes predictions about events in the future. Also, we noticed that, earlier, the data consisted of only a few metrics, based on which the team classified its customers.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

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., This blog post discusses such a comprehensive approach that is used at Youtube. the fraction of video recommendations resulted in positive user experiences).

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Peter James Thomas

AUGUST 12, 2018

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? However – as is often the case with issues I deal with on this blog – fact-based decision-making is easier to say than it is to achieve.

Metrics 49

Metrics Statistics Data Quality Measurement 49

The Unofficial Google Data Science Blog

JULY 18, 2023

That’s the focus of this blog post. Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. We need to update our metrics to be able to account for this disagreement.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ If your “performance” metrics are focused on predictive power, then you’ll probably end up with more complex models, and consequently less interpretable ones. Challenges for Transparency ”. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the one hand, basic statistical models (e.g. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. As introduced in Zaheer et al.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108