Kaggle
Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges. Kaggle got its start in 2010 by offering machine learning competitions and now also offers a public data platform[clarification needed], a cloud-based workbench for data science, and Artificial Intelligence education. Its key personnel were Anthony Goldbloom and Jeremy Howard. Nicholas Gruen was the founding chair succeeded by Max Levchin. Equity was raised in 2011 valuing the company at $25.2 million. On 8 March 2017, Google announced that they were acquiring Kaggle.[1][2] [edit]In June 2017, Kaggle announced that it passed 1 million registered users, or Kagglers,[3] and as of 2021 has over 8 million registered users.[4] The community spans 194 countries. It is a diverse community, ranging from those just starting out to many of the world's best known researchers.[5] By March 2017, the Two Sigma Investments fund was running a competition on Kaggle to code a trading algorithm.[6] How Kaggle competitions work[edit]
Alongside its public competitions, Kaggle also offers private competitions limited to Kaggle's top participants. Kaggle offers a free tool for data science teachers to run academic machine learning competitions.[8] Kaggle also hosts recruiting competitions in which data scientists compete for a chance to interview at leading data science companies like Facebook, Winton Capital, and Walmart. Impact of Kaggle competitions[edit]Kaggle has run hundreds of machine learning competitions since the company was founded. Competitions have ranged from improving gesture recognition for Microsoft Kinect[9] to making a football AI for Manchester City to improving the search for the Higgs boson at CERN.[10] Competitions have resulted in many successful projects including furthering the state of the art in HIV research,[11] chess ratings[12] and traffic forecasting.[13] Geoffrey Hinton and George Dahl used deep neural networks to win a competition hosted by Merck. And Vlad Mnih (one of Hinton's students) used deep neural networks to win a competition hosted by Adzuna. This resulted in the technique being taken up by others in the Kaggle community. Tianqi Chen from the University of Washington also used Kaggle to show the power of XGBoost, which has since taken over from Random Forest as one of the main methods used to win Kaggle competitions. Several academic papers have been published on the basis of findings made in Kaggle competitions.[14] A key to this is the effect of the live leaderboard, which encourages participants to continue innovating beyond existing best practice.[15] The winning methods are frequently written up on the Kaggle blog, Kaggle Winner's Blog. Financials[edit]In March 2017, Fei-Fei Li, Chief Scientist at Google, announced that Google was acquiring Kaggle during her keynote at Google Next.[16] See also[edit]
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What is the best way to use Kaggle?Equip yourself with the basic skills. ... . Explore the datasets. ... . Learn from the EDA code snippets. ... . Explore and re-execute the data science notebooks. ... . Pointers to get started with Kaggle. ... . Participate in competitions and follow the discussions. ... . Know about what you don't learn as well. ... . Other Benefits of using Kaggle.. What are the advantages of using Kaggle?Advantages of Kaggle. Kaggle is a great place to learn and master data science skills, but it could easily become overwhelming if you don't have strong knowledge of the basics.. Kaggle can be a great way for newcomers to build data science skills.. It help you to have a valuable portfolio.. Kaggle is free to use.. What is Kaggle and how do you use it?Kaggle is an online community platform for data scientists and machine learning enthusiasts. Kaggle allows users to collaborate with other users, find and publish datasets, use GPU integrated notebooks, and compete with other data scientists to solve data science challenges.
What is an advantage of using Kaggle as a platform for your portfolio?Advantages of Kaggle Kernels — as your Portfolio
Awards / Fame / Money — Anytime you win something on a platform where you have global audience, you're getting a global fame. That stays true for Kaggle too. Kaggle often hosts Kernel-based Competitions with Cash Prizes or Kaggle Swags.
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