datapine

JANUARY 31, 2022

They then proceeded to analyze three areas: the employee selection and onboarding, the daily staff management, and finally the employees’ behavior and interactions in the restaurants. 5) Find improvement opportunities through predictions. The goals were multiple: revenue growth, customer satisfaction, and speed of service.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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. You get a confusing little thing, but the visualization is interactive. Short story #2: Predictive Modeling, Quantifying Cost of Inaction. Let's look at some more.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. PDPs for the bicycle count prediction model (Molnar, 2009). Creating a PDP for our model is fairly straightforward.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

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. Instead, we recommend using the bokeh library to create a highly interactive—and actionable—plot, as with the code provided in Example 11.11.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111