Startup OXData launches H2O open source machine learning project

The start-up of Oxdata launched the H2O open source machine learning project, and the company currently has received a new round of $ 8.9 million in financing. Oxdata's flagship product, called "H2O", is a core data analysis platform. There are also some other open source companies in this field, such as Chef, MongoDB, and Redis Lab. At present, the H2O team is working with related companies to accumulate a user community group for H2O projects. "In the nearest third and fourth quarters, open source movements helped our products received phenomenon distribution," Srisatish Ambati said, he is a joint founder and CEO of H2O project. In the field of machine learning, or more complex deep learning areas, there are other open source tools to attract the attention of developers, such as Skymind driven open source depth learning project DeePlearning4j; there is a PREDictionIO; and Apache Mahout machine learning open source project, The project received Hadoop distribution vendors Cloudera, Hortonworks, and MAPR support. Through Application Interface (API), developers in the startup can integrate machine learning services into their App applications; these companies include AlchemyApi, Skytree, and Wise.IO. However, Ambati tends to pass directly through the API, so H2O is its own development API, because it is now a free open source project, so the project is made through support and maintenance services. Not only that, H2O can be integrated with the data scientist's workflow. Of course, these scientists need to be familiar with the R program language because H2O is written in the R program language, and the other part is written by Java and Python. of. The user can deploy the H2O R program installation package, which can then run H2O in the R locales. Why is there only part of the development of R language? The main reason is because Ambati is dissatisfied with the performance of the R language. At present, H2O has 20 product customers, including Cisco, eBay, Nielsen, and PayPal. ASH BHARDWAJ, Riverwood Capital Michael Marks, and Rakesh Mathur lead this round of financing. Nexus Venture Partners, Transamerica Ventures, and Jishnu Bhattacharjee are also involved in this round of financing. Up to now, H2O has raised $ 13.6 million. In addition, the project was established in Mountain View in California in 2011. Technology area "Ai + Education" is about to set off the investment boom, the problem is coexisting China Telecom releases new standards for AI smartphones Shoulder plan: Through artificial intelligence and other technologies to enjoys quality teaching in children's children How to give Ai with human glory, becoming the most realistic challenge of artificial intelligence The intelligent learning method closest to the human brain is deeply learned, how much do you know?

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