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Prediction API

1 post · May 2010 – Apr 2011

What this trail covers

Google's Prediction API allows developers to integrate machine learning capabilities into their applications, enabling them to build 'smart apps' that can make predictions based on data. This API provides access to trained models for tasks such as classification and regression, simplifying the process of incorporating AI into software. The API is designed to be accessible to a wide range of developers, abstracting away the complexities of machine learning model training and deployment. This post details the integration of the Prediction API with BigQuery, allowing for more sophisticated data analysis and predictive modeling.

All Google trails
  1. Prediction API: Every app a smart app- Google Developers BlogThis post announces the launch of the Prediction API, a new service that allows developers to integrate machine learning into their applications. It highlights the API's ability to make 'smart apps' by providing access to trained models for classification and regression tasks. The post emphasizes the ease of use and accessibility of the API, aiming to democratize the use of machine learning for developers.
  2. Prediction API: Make smart apps even smarter- Google Developers BlogThis post announces the release of the Prediction API, a new service that allows developers to integrate machine learning capabilities into their applications. It enables the creation of 'smart apps' that can make predictions based on data by providing access to trained models for tasks such as classification and regression. The API simplifies the incorporation of AI into software and is designed to be accessible to a wide range of developers, abstracting away the complexities of machine learning model training and deployment.
  3. BigQuery and Prediction API: Get more from your data with Google- Google Developers BlogThis post introduces the integration of the Google Prediction API with BigQuery. It explains how developers can leverage BigQuery to store and process data, and then use the Prediction API to build predictive models on that data. The post highlights the benefits of this integration for data analysis and the creation of 'smart applications'.