CIO Business Intelligence

JANUARY 17, 2024

Following this, in 2002, it began delivering its knowledge to customers in online format, using dashboards and interactive reports that provided easier and faster access to data and analysis. According to Mohammed, the results of this digital transformation journey are measurable and impressive. js and React.js.

Digital Transformation 116

Digital Transformation Dashboards Reporting Data Science 116

Domino Data Lab

JUNE 8, 2021

Support Vector Machines (SVMs) are supervised learning models with a wide range of applications in text classification (Joachims, 1998), image recognition (Decoste and Schölkopf, 2002), image segmentation (Barghout, 2015), anomaly detection (Schölkopf et al., The use of multiple measurements in taxonomic problems. Fisher, R.

Optimization 76

Optimization Machine Learning Measurement Data Science 76

Domino Data Lab

MAY 20, 2021

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. This renders measures like classification accuracy meaningless. In their 2002 paper Chawla et al. Figure 3 shows visual explanation of how SMOTE generates synthetic observations in this case.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

datapine

MAY 31, 2022

More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model. Be it in the form of online BI tools , or an online data visualization system, a company must address where and how to store its data. Cost management and containment.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110