A comparison (and video demonstration) showing how Zebrium ZELK Stack machine learning compares to Elastic ML Anomaly Detection for logs and metrics. (more…)

Given the computational cost and technical expertise required to train machine learning models, users may delegate the task of learning to a service provider. We show how a malicious learner can plant an undetectable backdoor into a classifier. On the sur... (more…)

Curated list of free, high-quality datasets for data science and machine learning. Organized into 11 of the most popular use cases. (more…)

In the field of machine learning, meta learning techniques focus on the research and development of automated learning algorithms. To get a better understanding of them, I got in touch with Nicholas Guttenberg, a senior research scientist at CrossLabs. (more…)

A lot of companies struggle to use machine learning to improve their notification experience. Today, we’re talking with Discord’s ML team to share what they’ve found to work successfully and the problems they’ve encountered in the process. (more…)