Ai+ Training

Keynote session by John Montgomery

MLOps – Take Your Data Science Workflows Into Production with MLOps

Consume, Control and Serve REST APIs with R

Improving Subseasonal Forecasting in the Western U.S. with Machine Learning

Training and Operationalizing Interpretable Machine Learning Models

Looking from Above: Object Detection and Other Computer Vision Tasks on Satellite Imagery

Azure Automated Machine Learning (Introduction and Demos)

How to Solve Real-World Computer Vision Problems Using Open-Source

Hybrid Deep Learning Approach to Speed up Certain Numerical Simulations

Responsible AI – State of the Art and Future Directions

Opening the Pod Bay Doors: Building Intelligent Agents That Can Interpret, Generate and Learn from Natural Language

From Research to Production: Performant Cross-platform ML/DNN Model Inferencing on Cloud and Edge with ONNX Runtime