# Kaggle Acquired by Google

Kaggle, a data science competition platform and online community, was acquired by Google in March 2017. It enables users to find datasets, build models, and compete in machine-learning challenges, with over 15 million users as of October 2023.

Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners, operating under Google LLC. It enables users to find and publish datasets, explore and build models in a web-based data science environment, collaborate with other data scientists and machine learning engineers, and enter competitions to solve data science challenges. The platform has also been involved in controversies regarding the use of unethical and unreliable data in medical research.

## History

Kaggle was founded by Anthony Goldbloom in April 2010. Jeremy Howard, one of the first Kaggle users, joined in November 2010 and served as President and Chief Scientist. Nicholas Gruen was the founding chair. In 2011, the company raised $12.5 million, and Max Levchin became chairman. On March 8, 2017, Fei-Fei Li, Chief Scientist at Google, announced that Google was acquiring Kaggle. In June 2017, Kaggle surpassed 1 million registered users, and as of October 2023, it has over 15 million users in 194 countries. In 2022, founders Goldbloom and Hamner stepped down, and D. Sculley became CEO. In February 2023, Kaggle introduced Models, allowing users to discover and use pre-trained models through deep integrations with the rest of the platform. In April 2025, Kaggle partnered with the Wikimedia Foundation.

## Competitions

Many machine-learning competitions have been run on Kaggle since its founding. Notable competitions include gesture recognition for Microsoft Kinect, making an association football AI for Manchester City, coding a trading algorithm for Two Sigma Investments, and improving the search for the Higgs boson at CERN. The competition host prepares the data and a description of the problem, and may choose whether to reward with money or leave it unpaid. Participants experiment with different techniques and compete to produce the best models. Work is shared publicly through Kaggle Kernels to achieve better benchmarks and inspire new ideas. Submissions can be made through Kaggle Kernels, manual upload, or the Kaggle API. For most competitions, submissions are scored immediately based on predictive accuracy relative to a hidden solution file and summarized on a live leaderboard. After the deadline, the host pays the prize money in exchange for a worldwide, perpetual, irrevocable, and royalty-free license to use the winning entry, which is non-exclusive unless otherwise specified.

Alongside public competitions, Kaggle offers private competitions limited to top participants. It also provides a free tool for data science teachers to run academic competitions and hosts recruiting competitions for companies like Facebook, Winton Capital, and Walmart. Successful projects from competitions include furthering HIV research, chess ratings, and traffic forecasting. Geoffrey Hinton and George Dahl used deep neural networks to win a Merck-hosted competition, and Vlad Mnih, a Hinton student, used deep neural networks to win an Adzuna-hosted competition, leading to wider adoption of the technique. Tianqi Chen from the University of Washington used Kaggle to demonstrate the power of XGBoost, which has since replaced Random Forest as a main method for winning competitions. Several academic papers have been published based on findings from Kaggle competitions, with the live leaderboard encouraging continuous innovation. Winning methods are frequently documented on the Kaggle Winner's Blog.

## Progression System

Kaggle has implemented a progression system to recognize and reward users based on contributions and achievements. The system consists of five tiers: Novice, Contributor, Expert, Master, and Grandmaster. Each tier is achieved by meeting specific criteria in competitions, datasets, kernels (code-sharing), and discussions. The highest tier, Kaggle Grandmaster, is awarded to users who have ranked at the top of multiple competitions, including high ranking in a solo team. As of April 2, 2025, out of 23.29 million Kaggle accounts, 2,973 have achieved Master status and 612 have achieved Grandmaster status.

## Kaggle Notebooks

Kaggle includes a free, browser-based online integrated development environment called Kaggle Notebooks, designed for data science and machine learning. Users can write and execute code in Python or R, import datasets, use popular libraries, and train models on CPUs, GPUs, or TPUs directly in the cloud. This environment is often used for competition submissions, tutorials, education, and exploratory data analysis.

## Medical Research Problems

In December 2025, an article in The Transmitter titled "Exclusive: Springer Nature retracts, removes nearly 40 publications that trained neural networks on 'bonkers' dataset" highlighted a dataset uploaded to Kaggle containing photographs of autistic and non-autistic children's faces. The dataset contained more than 2,900 images, and it is unlikely that the children or their families gave consent for use in medical research or that the images were ethically approved. Articles using the dataset in Springer Nature were retracted, and at least 90 other publications cite a version of the dataset. In April 2026, two additional datasets with no data provenance were identified on Kaggle, as published in Nature titled "Dozens of AI disease-prediction models were trained on dubious data." These datasets were used in 125 clinical prediction models, at least two of which have been used in hospitals in Indonesia and Spain, while one article was referenced in a medical device patent. As of June 5, 2026, five articles using these datasets have been retracted. In May 2026, an additional research publication using two image datasets from Kaggle is under investigation in Scientific Reports. An article in Retraction Watch titled "'Comically bad' datasets used to train clinical models for stroke and diabetes" noted that images included famous actors such as Sylvester Stallone as Rambo, George Clooney, Angelina Jolie, and Daniel Craig, as well as children. Reverse image searching revealed some images were not for stroke but for Bell's palsy. One dataset is no longer available on Kaggle, while the other remains.

## Impact and Legacy

The acquisition by Google integrated Kaggle into the broader ecosystem of [google-cloud](https://www.wikiprompt.org/wiki/google-cloud) and [google-deepmind](https://www.wikiprompt.org/wiki/google-deepmind), enhancing its capabilities in [machine-learning](https://www.wikiprompt.org/wiki/machine-learning) and [artificial-intelligence](https://www.wikiprompt.org/wiki/artificial-intelligence). Kaggle's platform has become a central hub for [data-augmentation](https://www.wikiprompt.org/wiki/data-augmentation) techniques and [model-pruning](https://www.wikiprompt.org/wiki/model-pruning) practices, with users leveraging [residual-network](https://www.wikiprompt.org/wiki/residual-network) and [u-net](https://www.wikiprompt.org/wiki/u-net) architectures. The community has contributed to advances in [deep-learning](https://www.wikiprompt.org/wiki/deep-learning) and [neural-network](https://www.wikiprompt.org/wiki/neural-network) research, often using tools like [adam-optimizer](https://www.wikiprompt.org/wiki/adam-optimizer) and [batch-normalization](https://www.wikiprompt.org/wiki/batch-normalization). Kaggle's competitions have also influenced [generative-ai](https://www.wikiprompt.org/wiki/generative-ai) development, with participants exploring [transformer](https://www.wikiprompt.org/wiki/transformer) models and [large-language-model](https://www.wikiprompt.org/wiki/large-language-model) applications. The platform's progression system and notebooks have made it a key resource for education and professional development in data science, fostering a global community of practitioners and researchers.

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Source: https://www.wikiprompt.org/wiki/kaggle-acquired-google-2017
License: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/)
Last updated: 2026-09-09T02:01:21.391837+00:00