KDnuggets

DECEMBER 13, 2021

So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever.

Machine Learning 395

Machine Learning Machine Learning Data Science Data Mining 395

KDnuggets

DECEMBER 13, 2021

So much of data science and machine learning is founded on having clean and well-understood data sources that it is unsurprising that the data labeling market is growing faster than ever.

Machine Learning 209

Machine Learning Machine Learning Data Science Data Mining 209

Dataconomy

SEPTEMBER 22, 2023

Artificial intelligence (AI) can be used to automate and optimize the data archiving process. There are several ways to use AI for data archiving. Traditional data compression methods often rely on rules-based algorithms that identify and remove obvious duplicates or redundancies.

Clustering 185

Clustering Algorithm Data Classification Machine Learning 185

Towards AI

MAY 3, 2023

Solving Machine Learning Tasks with MLCoPilot: Harnessing Human Expertise for Success Many of us have made use of large language models (LLMs) like ChatGPT to generate not only text and images but also code, including machine learning code. Vector databases can store them and are designed for search and data mining.

ML 98

ML ML Machine Learning Machine Learning 98

Alation

JULY 13, 2021

Complex data management is on the rise. The Five Pain Points of Moving Data to the Cloud. She has written hundreds of articles on data mining and information technology. Dr. Halper attributes this increase of complex data management to the growing importance of analytics. Fern Halper, Ph.D. Pre-Migration Prep.

Cloud Data 52

Cloud Data Data Governance Data Warehouse Data Mining 52

Alation

AUGUST 26, 2021

So how does data intelligence support governance? Examples of governance features that leverage data intelligence include: A business glossary, with automated data classification, to align teams on key terms. Data lineage tracking and impact analysis reports to show transformation over time. Again, metadata is key.

Data Governance 64

Data Governance ML ML Augmented Analytics 64