Juice Analytics

APRIL 7, 2021

From: Ocean's Eleven (2001) Now imagine yourself giving a pep talk to the next email, PowerPoint slide, or dashboard that you are about to send out. How exactly is this metric calculated? But don’t be that presenter who stares incessantly at your metrics and goals. How was it collected and who was involved?

Metrics 100

Metrics Statistics Dashboards IT 100

IBM Big Data Hub

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics. ” “Data science” was first used as an independent discipline in 2001.

Machine Learning 58

Machine Learning Data Science Statistics Deep Learning 58

Occam's Razor

APRIL 25, 2011

Every presentation I do is customized for the audience in the room. I'm going to present a cluster of what I think are digital "crimes against humanity." Making lame metrics the measures of success: Impressions, Click-throughs, Page Views. But maybe the issue is that you (and the Marketers and Leaders.

Marketing 126

Marketing Measurement Metrics Testing 126

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. I am honored to be able to present here and thrilled to have been involved in Rev. The presentation layer was about, say, web browsers, right, what you could do in a web browser. I can point to the year 2001. Session Summary. Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

O'Reilly on Data

MAY 27, 2020

In 2001, just as the Lexile system was rolling out state-wide, a professor of education named Stephen Krashen took to the pages of the California School Library Journal to raise an alarm. Inevitably, patients with risk factors that are excluded from the model’s adjustments present a threat to each surgeon’s statistics.

Risk 355

Risk Testing Reporting Measurement 355

Domino Data Lab

MAY 20, 2021

We present the inner workings of the SMOTE algorithm and show a simple “from scratch” implementation of SMOTE. def get_neigbours(M, k): nn = NearestNeighbors(n_neighbors=k+1, metric="euclidean").fit(M) Here is a simplified version of the SMOTE algorithm: import random import pandas as pd import numpy as np.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Jet Global

AUGUST 25, 2020

Let’s take a closer look at what corporate performance management is, why it’s important, and the common problems presented by many CPM software solutions. Rather, it represents the management framework put in place by corporate leadership to monitor and respond to important metrics. Monitoring key metrics.

Software 96

Software Metrics Finance Key Performance Indicator 96