Machine learning systems are complex, developed by cross-functional teams, and contain many moving parts. Start learning how to build accelerated machine learning systems with this e-book, which offers a blueprint for a realistic end-to-end system that includes data processing, analytics, machine learning, and inference—all accelerated with NVIDIA GPUs.
What a typical end-to-end machine learning workflow and architecture for a churn prediction solution looks like
How to build a data pipeline that federates and integrates structured transactional data and prepares it for downstream processing
How to integrate enterprise data engineering pipelines with machine learning
Best practices for feature extraction, model training, deployment, and accelerated inference