IEEE Big Data 2023 Tutorials

Tutorial 1:

Gianluca Bontempi, "Big Data Analytics in Fraud Detection and Churn Prevention: from Prediction to Causal Inference"

Tutorial 2:

Grant Scott and J. Alex Hurt,"With Big Data Comes Big Compute: Scaling Machine Learning onto Public and Commercial Clouds with Kubernetes"

Tutorial 3:

Ghassan AlRegib and Mohit Prabhushankar,"Robust Neural Networks: Explainability, Uncertainty, and Intervenability"

Tutorial 4:

Ladjel Bellatreche, Wojciech Macyna, and Carlos Ordonez"Green Analytics"

Tutorial 5:

Seshu Tirupathi and Dhaval Salwala,"Data and Model Lifecycle Management for Incremental Machine Learning Algorithms

Tutorial 6:

Sandhya Tripathi and Christopher R King,"Contrastive learning: Big Data Foundations and Applications"