This document provides an overview of machine learning capabilities on Google Cloud Platform. It discusses how machine learning is used across Google products to improve search ranking and more. It then summarizes the main machine learning capabilities available on GCP, including calling pre-trained models through APIs, building and training custom models on Cloud ML Engine, and using AutoML to build models with little machine learning expertise. The document also briefly introduces upcoming capabilities like Kubeflow for portable machine learning pipelines and AI Hub for discovering and sharing pre-built machine learning solutions.