Tools to Implement machine learning
Leverage the power of machine learning
Ivonna Dumanyan and Gabrielle Levac, Co-Founders of Fathom AI, inspect a company device, a stack of boxes behind them.Make a difference
“Roughly 64% of all sports injuries are preventable, and through machine learning we’re on our way to a world where those injuries no longer exist. Our models can help change that. We can change that.”
Ivonna Dumanyan and Gabrielle Levac, Co-Founders of Fathom AI, stand for a photo in their office.Success together
“Marry your co-founder. There’s no way we’d get through this without each other.”
Build a scalable machine learning model
Google Cloud Machine Learning Engine allows startups to build machine learning models that work on any data, of any size. Trained models are immediately ready for use with Google’s global prediction platform and fully integrate with Google’s infrastructure, APIs, and data services.
Build and train a neural network
For startups who want to tap into the same neural network capabilities used by Google, there’s Tensorflow--an open-source software library that finds patterns and correlations in data and gives startups the ability to build custom machine learning networks that can solve a broad range of problems.
Integrate powerful machine learning APIs
Google Cloud Machine Learning APIs are for startups who want to automate their workflows with Google’s cutting edge speech, vision, video intelligence, or translation capabilities. These machine learning powerhouses are pre-built and work with popular programming languages, so startups don’t have to build their systems from scratch.
Embed the Google Assistant in any device
Google Assistant SDK is for startups who build products that need conversational functionality. Assistant SDK provides two simple integration options, and lets you add hotword detection, voice control, and natural language understanding to any device.