Tag - KDnuggets

277 Data Science Key Terms, Explained

This is a collection of 277 This post presents a collection of 12 Machine Learning Key Terms, Explained This is the first in a series of such posts on KDnuggets which will offer concise explanations of a related set of terms (machine learning, in thi...

4th Global Data Science Conference, Boston, October 16-18

Global Data Science Conference will include sharing real world experiences, how to create a balanced big data science team, Panel Sessions, Keynote Sessions and workshop. Use code KDNUGGETS to save. Global Big Data Conference, the leading vendor agno...

6 Tips for Effective Visualization with Tableau

We analyse principles for effective comments Tableau is an extremely powerful visualization software that focuses on business intelligence and analysis, utilised by thousands of companies worldwide. With a simple drag-and-drop design, a community for...

7 Ways to Get High-Quality Labeled Training Data at Low Cost

Having labeled training __data is not simple or cheap. We review 7 approaches including repurposing, harvesting free sources, retrain models on progressively higher quality data, and more. By James Kobielus, SiliconANGLE. Data scientists know that an...

A Case For Explainable AI & Machine Learning

In support of the explainable AI cause, we present a variety of use cases covering operational needs, regulatory compliance and public trust and social acceptance. comments By Katarina Athens-Miller, Anna Olecka & Jason Otte In the recent KDnuggets a...

Advances in AI & Deep Learning: DeepMind, Facebook & OpenAI

RE•WORK would like to update KDnuggets readers on their upcoming European events, as discounted tickets end next week, and share their on-demand content and expert interviews! For 20% off pass prices for all RE•WORK events, use discount code KDNUGGET...