ML engineering for production ML deployments with TFX (TensorFlow Fall 2020 Updates)

Delivering the results of advanced ML technology to customers requires a rigorous approach and production-ready systems. In this quick overview learn about TFX, the framework that Google uses to put ML into production. In this session Developer Advocate Robert Crowe (@robert_crowe) covers the basics, and highlights what's new this year, to help you get started. We'll also show you a hands-on look at how to put together a production pipeline system with TFX. We'll quickly cover everything from data acquisition, model building, through to deployment and management. Learn more about TFX → https://goo.gle/2YymOcC A brief history of TFX → https://goo.gle/3pFOvPc Repo → https://goo.gle/337fW9J Community → https://goo.gle/2OGjw78 TFX on YouTube → https://goo.gle/2xVkwt4 Check out more TF Fall 2020 Updates → https://goo.gle/tf-fall-updates Subscribe to TensorFlow → https://goo.gle/TensorFlow #tensorflowupdates