End-to-End Blueprint for Accelerating Customer Churn Prediction

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Learn How to Accelerate Your Predictive Use Cases

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.

Real-World End-to-End Workflow

What a typical end-to-end machine learning workflow and architecture for a churn prediction solution looks like

Data Processing and Analytics

How to build a data pipeline that federates and integrates structured transactional data and prepares it for downstream processing

Machine Learning Techniques

How to integrate enterprise data engineering pipelines with machine learning

Accelerated Inference

Best practices for feature extraction, model training, deployment, and accelerated inference

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