Using Google Cloud Machine Learning to predict clicks at scale Google Cloud Big Data and Machine Learning Blog Google Cloud Platform

Google Cloud Machine Learning and TensorFlow are excellent tools for solving perception problems such as image classification. They work equally well on more traditional machine-learning problems such as click prediction for large-scale advertising and recommendation scenarios. To demonstrate this capability, in this post we'll train a model to predict display ad clicks on Criteo Labs clicks logs. These logs are over 1TB in size and contain feature values and click feedback from millions of display ads. We show how to train several models using different machine-learning techniques to predict the clickthrough rate.