R2 Learn 2.0 AutoML Helps Businesses and Individuals Deploy AI With Little AI Expertise

According to a new press release, “R2.ai, which develops AutoML software for any business to leverage the power of artificial intelligence (AI), today unveiled its new product, R2 Learn 2.0. The new automated machine learning (AutoML) product comes with significant new features for businesses across all industries and is designed for data scientists, model developers and business analysts—with or without AI expertise—to build and deploy advanced machine learning models in a fast, easy and affordable way. ‘Given the massive amounts of data generated by most industries, the ability for enterprises to independently build and deploy machine learning models will unlock growth potential and become a major differentiating advantage in the near future,’ said Yiwen Huang, founder and CEO of R2.ai. ‘R2 Learn is designed so that even if you lack AI expertise, you can still build and develop your own AI solutions’.”

The release goes on, “With two new proprietary supervised learning algorithms, building models is faster than ever. R2 Learn 2.0 will build models 20 times faster with GPU acceleration and 5 times faster without compared to its predecessor, R2 Learn 1.2. It also has support for compressed file formats which make uploading big data sets easier and faster. Additionally, it will support better data augmentation with more powerful custom feature transformation functions. R2 Learn 2.0 has the following key advantages: An end-to-end modeling workflow that automatically handles everything from data quality to model deployment; An optimization engine that quickly identifies the most optimum AI model using the least amount of computing resources; Self-learning capabilities that act like an experienced human data scientist to constantly improve modeling processes; A high-speed modeling process that develops models in minutes and hours not days; An easy to use interface and process suitable for both AI experts and non-experts; and High performance with measurably better model quality.”

Read more at PR Newswire.

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