This section contains three blogposts:
- Linear and logistic regression is a guide on how to performe linear and logistic regression with TensorFlow on the airline data.
- Distributed TensorFlow shows how to distribute the computations between multiple cores or nodes.
- TensorFlow for statisticians is aimed at providing useful information to statisticians who are thinking to start working with TensorFlow, in the context of linear models for large datasets.