QUICK FACTS

HEAD OFFICE

188 King St.
Unit 502
San Francisco, CA 94107
United States

category

CATEGORIES

Big Data, Analytics, Big Data Analytics, Predictive analytics

INDUSTRIES

Advertising, Aerospace, Agricultural, Automotive, Business Consulting Services, Chemical, Construction, Consumer goods, E-commerce, Education and research, Electronics, Energy, Financial Services, Gaming, Healthcare, Legal, Manufacturing, Market research, Media and entertainment, Non-profit, Oil and gas, Public sector and governments, Publishing, Real estate, Recruitment, Retail, Social media / marketing, Sports, Technology, Telecom, Transportation, Travel, leisure and hospitality

SIZE OF CUSTOMERS

Large, Global Enterprise, Medium

 
Founders:
 
Year founded:April 1, 2010
Funding received: $ 11 million
Investors:
 
#Employees:40
Awards won:Several
 

Overview

Kaggle makes data science a sport. They allow everyone to set-up competitions that challenges the world’s best researches and statisticians. These bright minds can work together or compete against each other and come up with solutions for big data as per the requirement of the host of a competition.

Kaggle has over 60.000 data scientists worldwide from fields such as statistics, economics, mathematics or computer science.

How does Kaggle work?

  1. A competition host prepares the description of the project and prepares the data. Kaggle can help the host with setting the frame of the competition as well as anonymize the data.
  2. Participants start working on models and, depending on the competition, submissions can be shown immediately on the leader board.
  3. When the competitions closes, the host pays the winning model the prize money.

Kaggle offers also private competitions with only top data scientists from around the world. The data scientists who want to join private competitions are background checked and sign NDA’s with the host of the competition. The prize money and data are only a part of the motivation to join; the scientists use Kaggle also for networking and collaboration.

Less




In order to contact Kaggle, you have to be a registered Datafloq user

Register here or Login








Your request has been sent. However, unfortunately this vendor has not claimed their profile, therefore they will not receive an email with your information.