Ideate and deploy
Whether you are a developer or data scientist, Google Cloud offers AI products and services to help you quickly take projects from experimentation to production.
At a New York University hackathon, one team develops a mobile app designed as a preliminary step in helping to detect melanoma via smartphone camera.
Jupyter on the web with Colab: Colab not only lets you execute Jupyter Notebooks on the web, but also offers a free GPU, excellent collaboration features, built-in code snippets, and much much more.
TensorFlow for Poets: learn how to install and run TensorFlow on a single machine, then train a simple classifier to classify images of flowers.
Classify images of clouds in the cloud with AutoML Vision
Learn to upload images to the AutoML UI and train a model that will be available on GCP for generating predictions
- Updated June 29, 2018
Getting started with BigQuery ML
Learn how to use BigQuery to create machine learning models from Analytics 360 datasets.
- Updated December 6, 2018