Real Time Machine Learning
Oren Netzer, Eitan Netzer
We live in a real time world, where information and consumer preferences can change multiple times per day. This requires machine learning algorithms that can be trained and updated frequently and cost effectively. This talk will demonstrate how data scientists can use new frameworks to develop ML models that can be easily updated with new data, without requiring retraining on the full dataset.
Machine Learning Track
Machine Learning Track
