Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). KDD 2020 welcomes submissions on all aspects of knowledge discovery and data mining, from theoretical research on emerging topics to papers describing the design and implementation of systems for practical tasks. 1989 to be exact. 22-27, 2020.

KDD 81

KDD Knowledge Discovery Data mining Statistics 81

Ontotext

MARCH 8, 2023

Several factors are driving the adoption of knowledge graphs. Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

Ontotext

AUGUST 31, 2023

Have you ever been in a conversation where someone mentioned a “knowledge graph,” only to realize that their description was completely different from what you had in mind? What is a knowledge graph? Imagine that you want to optimize your supply chain using machine learning.

Modeling 64

Modeling Optimization Knowledge Discovery Enterprise 64

Domino Data Lab

JUNE 15, 2021

This is the core functionality of the Domino’s Enterprise MLOps platform – a system that enables fast, reproducible, and collaborative work on data products like models, dashboards, and data pipelines. Now let’s implement a simple machine learning scoring function against our test data. About Domino. About Snowflake.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69