The funding backs continued innovation in production-grade forecasting, anomaly detection, and artificial intelligence.

Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed. Industries from ...

In the ever-evolving landscape of capital infrastructure projects, government agencies find themselves performing an intricate dance. The heightened focus on the timely and budget-conforming ...

XGBoost is a popular open source machine learning library that can be used to solve all kinds of prediction problems. Here’s how to use XGBoost with InfluxDB. XGBoost is an open source machine ...

In this Data Science Salon talk, Kashif Rasul, Principal Research Scientist at Zalando, presents some modern probabilistic time series forecasting methods using deep learning. The Data Science Salon ...

When asked about his team's prospects for the upcoming baseball season, Yogi Berra supposedly replied, "It's tough to make predictions, especially about the future." The same can be said about ...