Google to Automate Machine Learning with AutoML Service

Google’s Cloud AutoML Vision can automatically create an accurate machine-learning training model using relatively small amounts of data

The first is AutoML Vision, drag-and-drop environment for building and running image recognition systems using machine learning technology that Google trained on CIFAR and ImageNet, two public image datasets.

"To close this gap, and to make AI accessible to every business, we're introducing Cloud AutoML".

Organizations that want to get started with machine learning but are intimidated by the cost and complexity - not to mention the difficulty of finding data scientists - may be interested in a new service Google announced today called Google AutoML.

"Currently, only a handful of businesses in the world have access to the talent and budgets needed to fully appreciate the advancements of ML and AI", Jia Li, head of research and development for Google's cloud AI unit, and Fei-Fei Li, the group's chief scientist, wrote in a blog post.

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Google has set its sights on speeding up the time it takes enterprises to create custom machine learning models through the imminent launch of its Cloud AutoML service suite. "In 2017, we introduced Google Cloud Machine Learning Engine, to help developers with machine learning expertise easily build ML models that work on any type of data, of any size". Then voila - the AutoML system generates a trained model based on the user's own image data, complete with analysis and statistics showing the quality of the model. It's called Cloud AutoML and is already being used by companies including Disney and Urban Outfitters to make search and shopping on their websites more relevant.

Even though company says that AutoML is the only system of its kind on the market, the services like Clarif.ai and Microsoft's Cognitive Services can compete with Google.

Right now, Cloud AutoML Vision is available in closed alpha testing, and Google will be working with each company that signs up to determine when the service would be right for them. AI building blocks for text, speech, video, vision can be provided by our machine learning APIs.

This new service goes beyond Google's existing portfolio of cloud machine learning services, which are either aimed at assisting with the broadest number of applications, or helping existing machine learning practitioners streamline the process of plying their craft. The millions of images captured by these devices are then manually analysed and annotated and with the relevant species such as elephants, lions, and giraffes, etc., which is a labour-intensive and expensive process. Disney, for instance, is using Cloud AutoML to help you search for products on its store based on what they look like, not arbitrary tags. Conservationists at the Zoological Society of London, meanwhile, are hoping to automatically categorize animals that pass by wildlife cameras.

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