{"id":4025,"date":"2017-03-10T19:40:02","date_gmt":"2017-03-10T19:40:02","guid":{"rendered":"https:\/\/www.rsoftsolution.com\/blog\/google-partners-with-vcs-to-host-its-own-machine-learning-startup-competition.html"},"modified":"2017-03-10T19:40:02","modified_gmt":"2017-03-10T19:40:02","slug":"google-partners-with-vcs-to-host-its-own-machine-learning-startup-competition","status":"publish","type":"post","link":"https:\/\/www.rbsitsoftwaresolution.in\/blog\/google-partners-with-vcs-to-host-its-own-machine-learning-startup-competition.html","title":{"rendered":"Google partners with VCs to host its own machine learning startup competition"},"content":{"rendered":"


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On the heels of acquiring data science community Kaggle<\/a>, Google is launching a machine learning competition of its own for startups.<\/a>\u00a0Google is targeting early stage companies taking an innovative approach to machine learning.<\/p>\n

The competition\u00a0is being run in partnership with seven venture capital firms that include Sequoia, KPCB, GV, Data Collective, Emergence Capital, Andreessen Horowitz and Greylock. Two of the firms, Data Collective<\/a> and Emergence Capital<\/a> plan to contribute $500,000 each to the winning startup<\/p>\n

To qualify for that prize, startups will not be required to use Google services. However,\u00a0there are other prizes available for companies using\u00a0Google Cloud and TensorFlow. The winner of the \u201cBuild with Google\u201d prize will receive $1 million in GCP credits, an opportunity to engage with engineers at Google Cloud and 10 G-Suite Seats for 12 months.\u00a0The runner up will receive half the GCP credits with identical accompaniments. All other finalists will get $200,000 GCP credits and the same G Suite license deal.<\/p>\n

Startups will be judged on the uniqueness of their underlying machine learning implementation. Traditional venture criteria like the ability to scale, the existence of product market fit and the skill set and preparedness of\u00a0teams\u00a0will also be in play.<\/p>\n

\"\"<\/p>\n

Google is targeting companies across all verticals including healthcare, energy and retail. While Google is not new to competitions, marketing\u00a0this one to the data science and machine learning community aligns well with its acquisition of Kaggle earlier this week<\/a>.\u00a0Prior to the announcement, Kaggle CEO Anthony Goldbloom explained that\u00a0the acquisition\u00a0will benefit its community with improved access to Google Cloud.<\/p>\n

In order to apply, startups have to have raised less than $5 million and be incorporated in the United States. The application is live today and will remain open until April 16th. Finalists will be picked in June with the final pitch off occurring over later in the summer.<\/p>\n

<\/a><\/p>\n

<\/p>\n

Article source: http:\/\/feedproxy.google.com\/~r\/techcrunchIt\/~3\/_0jG8y8871s\/<\/p>","protected":false},"excerpt":{"rendered":"

On the heels of acquiring data science community Kaggle, Google is launching a machine learning competition of its own for startups.\u00a0Google is targeting early stage companies taking an innovative approach <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[19],"tags":[25],"class_list":["post-4025","post","type-post","status-publish","format-standard","hentry","category-enterprise-software","tag-enterprise"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t