DataRobot

AUGUST 16, 2021

For example, in 2016 ProPublica discovered algorithmic bias in COMPAS (Correctional Offender Management Profiling for Alternative Sanctions), a proprietary algorithm used to predict the likelihood that an individual accused of a crime would reoffend.

Metrics 98

Metrics Modeling Machine Learning Data Collection 98

Occam's Razor

APRIL 21, 2014

But if you would like a quick collection of tips: Multichannel Analytics- Tracking Online Impact Of Offline Campaigns The enabler of tying offline activity to online is ensuring you have a weak or strong primary key. I believe these two posts with a collection of some of my favorite metrics will inspire you: 1. Joseph Boisseaux.

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

Domino Data Lab

OCTOBER 23, 2019

The first step to collecting all of the data is to figure out which data source to collect first, and where to get it. Knowing that the ultimate goal is to compare the social-media influence and power of NBA players, a great place to start is with the roster of the NBA players in the 2016–2017 season. 35,vjust=1).

Statistics 59

Statistics Machine Learning Testing Modeling 59

datapine

AUGUST 29, 2022

Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. Before we delve deeper into the best books for data analytics, here are three big data insights to put their relevance and importance into perspective.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Andrew White

JANUARY 9, 2022

– We did some early work a few years ago that look at the career path of a CDO – see from 2016 Build Your Career Path to the Chief Data Officer Role. This is the same for scope, outcomes/metrics, practices, organization/roles, and technology. 2016) though I have followed the topic in retail and CPG for years.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

AUGUST 1, 2021

2016) for an example of this technique (LIME). Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. Toy example to present intuition for LIME from Ribeiro (2016). Conference on Knowledge Discovery and Data Mining, pp.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Depict Data Studio

SEPTEMBER 15, 2020

In 2016, I met evaluator extraordinaire Dana Wanzer at a national conference. I would help train their nonprofits on evaluation, data collection, data analysis, and data visualization. Paul presented new metrics of success: How much time do you have with your family? How profitable are you?

Visualization 105

Visualization Consulting Dashboards Reporting 105