Rocket-Powered Data Science

JULY 6, 2021

Labeling, indexing, ease of discovery, and ease of access are essential if end-users are to find and benefit from the collection. My favorite approach to TAM creation and to modern data management in general is AI and machine learning (ML). Tagging and annotating those subcomponents and subsets (i.e.,

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

KDnuggets

DECEMBER 12, 2019

ACM SIGKDD Invites Industry and Academic Experts to Submit Advancements in Data Mining, Knowledge Discovery and Machine Learning for 26 th Annual Conference in San Diego.

KDD 46

KDD Knowledge Discovery Data Science Data mining 46

Ontotext

DECEMBER 1, 2023

Seen through the three days of Ontotext’s Knowledge Graph Forum (KGF) this year, complexity was not only empowering but key to the growth of knowledge and innovation. Knowledge graphs are often criticized for being too complex”, said Atanas, “but such initiatives actually are bound to be complex.

Metadata 78

Metadata Sales Consulting Enterprise 78

Domino Data Lab

MAY 20, 2021

Machine Learning algorithms often need to handle highly-imbalanced datasets. A rule-learning program in high energy physics event classification. A weighted nearest neighbor algorithm for learning with symbolic features. Machine Learning, 57–78. UCI machine learning repository.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Data Science 101

OCTOBER 31, 2019

Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining. The unusual data points may point to a problem or rare event that can be subject to further investigation.

Data mining 77

Data mining KDD Data Science Forecasting 77