Google - Cloud Machine Learning Engine

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Google Cloud Machine Learning Engine combines the power of Google’s infrastructure with the latest innovations in deep learning.

Managed Scalable Machine Learning Google Cloud Machine Learning Engine is a managed service that enables you to easily build machine learning models, that work on any type of data, of any size. Create your model with the powerful TensorFlow framework that powers many Google products, from Google Photos to Google Cloud Speech. Build models of any size with our managed scalable infrastructure. Your trained model is immediately available for use with our global prediction platform that can support thousands of users and TBs of data. The service is integrated with Google Cloud Dataflow for pre-processing, allowing you to access data from Google Cloud Storage, Google BigQuery, and others. Predictive Analytics at Scale Seamlessly transition from training to prediction, using online (currently in Beta) and batch prediction services. Integration to Google global load balancing enables you to automatically scale your machine learning application, and reach users world-wide. Build Machine Learning Models Easily HyperTune lets you automatically tune your model training to achieve better results faster. Enable developers to easily build models using Cloud Datalab. Data Scientists can understand their data, create TensorFlow model graphs, train their models and analyze model quality. Fully Managed Service Scalable and distributed training infrastructure with GPU acceleration for your largest data sets. Managed serverless infrastructure handles provisioning, scaling, and monitoring so that you can focus on building your models instead of handling clusters. Deep Learning Capabilities Cloud Machine Learning Engine supports any TensorFlow models - you can build and use models that can work on any type of data, across a whole variety of scenarios.

Learn more at cloud.google.com


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