Solving business problems with machine learning isn’t just about training models or even about finding the best features.
In this book, we’re going to build up a complete solution for predicting customer churn — that is, answering the question “given what we know about this customer, is she likely to not renew her contract.” We’ll pay special attention to parts of the process that are underserved by most data science tutorials, such as analytic processing and federation of structured data, integrating enterprise data engineering pipelines with machine learning, and production model serving. We’ll also show you how to accelerate each stage of this workflow with GPUs.
In this book, we’re going to build up a complete solution for predicting customer churn — that is, answering the question “given what we know about this customer, is she likely to not renew her contract.” We’ll pay special attention to parts of the process that are underserved by most data science tutorials, such as analytic processing and federation of structured data, integrating enterprise data engineering pipelines with machine learning, and production model serving. We’ll also show you how to accelerate each stage of this workflow with GPUs.
