IBM Big Data Hub

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. However, it wasn’t until the 1990s that ESG considerations started to appear in mainstream investment strategies. In 1995, the U.S

Measurement 84

Measurement Metrics Reporting Strategy 84

Smart Data Collective

FEBRUARY 1, 2023

Increasingly, soccer teams look at stats such as expected goals (Xg) as a key metric to understand underlying performance levels other than the actual scoreline. Oakland Athletics become famous in the 2002 season for a 20-game winning streak. These indicators may include the player’s sprint speed or distance covered per goal.

Data Analytics 93

Data Analytics Analytics Key Performance Indicator Marketing 93

AWS Big Data

MARCH 4, 2024

Lake Formation tag-based access control (LF-TBAC) is an authorization strategy that defines permissions based on attributes. Data files in snapshots are stored in one or more manifest files that contain a row for each data file in the table, its partition data, and its metrics. In Lake Formation, these attributes are called LF-Tags.

Snapshot 108

Snapshot Data Lake Metadata Recreation/Entertainment 108

bridgei2i

AUGUST 4, 2020

My name is Aruna Babu, and I’m a transformation consultant who spent a good part of the last decade crafting strategy that marries business technology and user needs. And it was funny cause I was going through a book that my business partner Barry Trailer and I wrote back in 2002. We’ve got, I actually have metrics.

Sales 93

Sales Enterprise B2B Digital Transformation 93

bridgei2i

AUGUST 4, 2020

My name is Aruna Babu, and I’m a transformation consultant who spent a good part of the last decade crafting strategy that marries business, technology and user needs. And it was funny cause I was going through a book that my business partner Barry Trailer and I wrote back in 2002. We’ve got, I actually have metrics.

Sales 52

Sales Enterprise B2B Digital Transformation 52

Domino Data Lab

MAY 20, 2021

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. In their 2002 paper Chawla et al.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Domino Data Lab

APRIL 21, 2021

from sklearn import metrics. There are different approaches to this strategy, with the two most commonly used being random oversampling and SMOTE. In this context, offsetting the threshold in a way that reduces the false negatives at the expense of false positives becomes a viable strategy. 16, 1 (January 2002), 321–357. [3]

Statistics 69

Statistics Machine Learning Modeling Metrics 69