Google recently confirmed the acquisition of Kaggle, a data science community platform and of machine learning enthusiasts.
Google revealed in a blog post that the skills of Kaggle’s team would be put to use in Google cloud machine learning training and deployment services, as well as dataset storage and query technologies. Since its inception in 2010, over 800,000 data scientists have used Kaggle to explore, understand, and contribute to machine learning and data analytics.
One of the main aims of the Kaggle community has been to utilize machine learning for everything from essay marking to diagnosing heart failure. Data scientist at Kaggle recently launched an open data platform in which scientists have contributed a range of datasets from credit card fraud to H-1B Visa petitions and tsunami wave rates.
Kaggle CEO Anthony Goldbloom said; “the platform will remain a distinct brand under the Google Cloud umbrella, and the platform will remain open to “data scientists, companies, techniques and technologies.”
Besides, Kaggle competitions and open data services will not be affected. Kaggle is expected to bring a wealth of data and machine learning scientists to the Google fold.
“Kaggle Kernels will continue to support a diverse ecosystem of machine learning libraries and packages supported by Google as well as those outsides of Google’s toolkit,” Goldbloom revealed. “Making Google Cloud technology available to our community will allow us to offer access to powerful infrastructure, scalable training and deployment services and the ability to store and query large data sets.”
In a statement, Fei-Fei Li, the chief scientist of Google Cloud AI and Machine Learning added: “lower the barriers of entry to AI and make it available to the largest community of developers, users and enterprises so that they can apply it to their own unique needs.”
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