datapine

JANUARY 31, 2022

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. This methodology of “test, look at the data, adjust” is at the heart and soul of business intelligence. 5) Find improvement opportunities through predictions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. In this article we’ll use Skater , a freely available framework for model interpretation, to illustrate some of the key concepts above. show_in_notebook().

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Occam's Razor

NOVEMBER 18, 2014

Short story #2: Predictive Modeling, Quantifying Cost of Inaction. You can hover over each box to get a sense of the key metrics. Short story #2: Predictive Modeling, Quantifying Cost of Inaction. The graph below shows the predictions of what would have happened if aggressive intervention started in June 2014.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Domino Data Lab

AUGUST 22, 2019

At the time—in 2014—the three were colleagues working. GloVe and word2vec differ in their underlying methodology: word2vec uses predictive models, while GloVe is count based. Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. Pennington, J.,

Deep Learning 111

Deep Learning Modeling Metrics Testing 111