This guide assists UXers, PMs, and developers in collaboratively working through AI design topics and questions. It provides tools, methods, and best practices for designing with AI in a human-centered way.
Become a better machine learning engineer by following these machine learning best practices used at Google. This compendium of 43 rules provides guidance on when to use machine learning to solve a problem, how to deploy a machine learning pipeline, how to launch and maintain a machine learning system, and what to do when your system reaches a plateau.
This comprehensive guide provides a walkthrough to solving text classification problems using machine learning. Learn the high-end workflow for text classification, how to choose the right model for your problem, and how to implement your model using TensorFlow.