CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics and data science are closely related.

Data Analytics 132

Data Analytics Diagnostic Analytics Management Analytics 132

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. This can cause certain business problems with both your data points as well as your data analytics, web analytics , and response variable.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

FineReport

APRIL 9, 2024

Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery. Furthermore, the implementation of healthcare data mining techniques allows organizations to uncover hidden patterns and correlations within their datasets.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Domino Data Lab

AUGUST 1, 2021

In this article we’ll use Skater , a freely available framework for model interpretation, to illustrate some of the key concepts above. Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. layer-wise relevance propagation), model distillation (e.g. nn_importances.tail(25).plot.barh(figsize=(10,12));

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139