There's an irony around Artificial Intelligence (AI) work: it involves a lot of manual, trial and error effort to build predictive models with the highest accuracy ...
The world of AutoML has been proliferating over the past few years - and with a recession looming, the notion of automating the development of AI and Machine Learning is bound to become even more ...
Dr. James McCaffrey provides hands-on examples in introducing ML.NET, for machine learning prediction models, and AutoML, which automatically examines different ML algorithms, finds the best one, and ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More There is no cure for Alzheimer’s. But what if we could find a way to ...
Two of the greatest obstacles to getting started with today’s deep learning systems have been the lack of truly “point and click” interfaces to creating new models and the immense complexities in ...
Google's first Cloud AutoML tool will be for recognizing objects in images. It follows Google's Cloud Machine Learning Engine service and the Cloud Vision application programming interface. Google 's ...
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The two biggest barriers to the use of machine learning (both classical machine learning and deep learning) are skills and computing resources. You can solve the second problem by throwing money at it ...
Automated machine learning promises to speed up the process of developing AI models and make the technology more accessible. Machine-learning researchers make many decisions when designing new models.
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