Scoop.it Archives - Page 26 of 123

Explainability V/s Interpretability In Artificial Intelligence

Over the last few years, there have been several innovations in the field of artificial intelligence and machine learning.

Sourced through Scoop.it from: www.analyticsindiamag.com

Leveraging Artificial Intelligence To Gain Long-Term Vision

While we wait for robots to take over the world, AI companies have focused on using this technology to engage us in conversation, understand what we want to buy and help us tackle fraud. It is now time to put AI to real work.

Sourced through Scoop.it from: www.forbes.com

NLP with a fashion twist: Zalando’s natural language processing framework

Who says natural language processing and fashion don't overlap? Zalando research brings the latest flair to the scene with their framework based on PyTorch.

Sourced through Scoop.it from: jaxenter.com

Using machine learning for the early detection of anomalies helps to avoid damage

The analysis of sensor data of machines, plants or buildings makes it possible to detect anomalous states early and thus to avoid further damage. For this purpose, the monitoring data is searched for anomalies. By means of machine learning, anomaly detection can already be partially automated.

Sourced through Scoop.it from: phys.org

Management AI: Anomaly Detection And Machine Learning

The machine learning systems coming to market now are beginning to provide simpler interfaces that allow people other than data scientists to work with anomalies, fine tune to minimize false positives and false negatives, and otherwise manage their businesses with improved accuracy.

Sourced through Scoop.it from: www.forbes.com

Top 5 ways humans bias machine learning

Tom Merritt explains the five ways human error can create issues with machine learning.

Sourced through Scoop.it from: www.techrepublic.com

Moving Beyond Social Media Towards News As “Big Data” In The Cloud Era

Today we typically equate "big data" and "social media" but that is largely because of social data's widespread machine-friendly availability, yet this over reliance has constrained the questions we can ask about human society. With a bit of creativity, news media can become truly "big data."

Sourced through Scoop.it from: www.forbes.com