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Bosch Production Line Performance Competition Winners' Interview: 3rd Place,...
The Bosch Production Line Performance competition ran on Kaggle from August to November 2016. Well over one thousand teams with 1602 players competed to reduce manufacturing failures using intricate...
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Bosch Production Line Performance Competition: Symposium for Advanced...
Bosch's competition, which ran from August to November 2016, challenged Kagglers to predict rare manufacturing failures in order to improve production line performance. While the challenge was ongoing,...
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Seizure Prediction Competition, 3rd Place Winner's Interview: Gareth Jones
The Seizure Prediction competition—hosted by Melbourne University AES, MathWorks, and NIH—challenged Kagglers to accurately forecast the occurrence of seizures using intracranial EEG recordings. Nearly...
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Santander Product Recommendation Competition, 2nd Place Winner's Solution...
The Santander Product Recommendation data science competition where the goal was to predict which new banking products customers were most likely to buy has just ended. After my earlier success in the...
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Seizure Prediction Competition: First Place Winners' Interview, Team...
The Melbourne University Seizure Prediction competition ran on Kaggle from November to December 2016, attracting nearly 500 teams. Kagglers were challenged to forecast seizures by differentiating...
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Santander Product Recommendation Competition: 3rd Place Winner's Interview,...
The Santander Product Recommendation competition ran on Kaggle from October to December 2016. Over 2,000 Kagglers competed to predict which products Santander customers were most likely to purchase...
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Allstate Claims Severity Competition, 2nd Place Winner's Interview: Alexey...
The Allstate Claims Severity recruiting competition ran on Kaggle from October to December 2016. As Kaggle's most popular recruiting competitions to-date, it attracted over 3,000 entrants who competed...
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Leaf Classification Playground Competition: Winning Kernels
The Leaf Classification playground competition ran on Kaggle from August 2016 to February 2017. Over 1,500 Kagglers competed to accurately identify 99 different species of plants based on a dataset of...
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Outbrain Click Prediction Competition, Winners' Interview: 2nd Place, Team...
From October 2016 to January 2017, the Outbrain Click Prediction competition challenged Kagglers to navigate a huge dataset of personalized website content recommendations with billions of data points...
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Leaf Classification Competition: 1st Place Winner's Interview, Ivan Sosnovik
Can you see the random forest for its leaves? The Leaf Classification playground competition ran on Kaggle from August 2016 to February 2017. Kagglers were challenged to correctly identify 99 classes...
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Predicting House Prices Playground Competition: Winning Kernels
The House Prices playground competition originally ran on Kaggle from August 2016 to February 2017. During this time, over 2,000 competitors experimented with advanced regression techniques like...
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Dogs vs. Cats Redux Playground Competition, Winner's Interview: Bojan Tunguz
The Dogs versus Cats Redux: Kernels Edition playground competition revived one of our favorite "for fun" image classification challenges from 2013, Dogs versus Cats. This time Kaggle brought Kernels,...
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Dogs vs. Cats Redux Playground Competition, 3rd Place Interview: Marco Lugo
The second iteration of the Dogs vs. Cats Redux playground competition challenged Kagglers to once again distinguish images of dogs from cats. This time relying on advances in computer vision and new...
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Dstl Satellite Imagery Competition, 1st Place Winner's Interview: Kyle Lee
Dstl's Satellite Imagery competition, which ran on Kaggle from December 2016 to March 2017, challenged Kagglers to identify and label significant features like waterways, buildings, and vehicles from...
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March Machine Learning Mania 2017, 2nd Place Winner's Interview: Scott Kellert
Kaggle's annual March Machine Learning Mania competition returned once again to challenge Kagglers to predict the outcomes of the 2017 NCAA Men's Basketball tournament. This year, 442 teams competed to...
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March Machine Learning Mania, 4th Place Winner's Interview: Erik Forseth
The annual March Machine Learning Mania competition, which ran on Kaggle from February to April, challenged Kagglers to predict the outcome of the 2017 NCAA men's basketball tournament. Unlike your...
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Dstl Satellite Imagery Competition, 3rd Place Winners' Interview: Vladimir &...
In their satellite imagery competition, the Defence Science and Technology Laboratory (Dstl) challenged Kagglers to apply novel techniques to "train an eye in the sky". From December 2016 to March...
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Two Sigma Financial Modeling Code Competition, 5th Place Winners' Interview:...
Kaggle's inaugural code competition, the Two Sigma Financial Modeling Challenge ran from December 2016 to March 2017. Over 2,000 players competed to search for signal in unpredictable financial markets...
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Data Science Bowl 2017, Predicting Lung Cancer: Solution Write-up, Team Deep...
Team Deep Breath's solution write-up was originally published here by Elias Vansteenkiste and cross-posted on No Free Hunch with his permission. The Data Science Bowl is an annual data science...
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March Machine Learning Mania, 1st Place Winner's Interview: Andrew Landgraf
Kaggle's 2017 March Machine Learning Mania competition challenged Kagglers to do what millions of sports fans do every year–try to predict the winners and losers of the US men's college basketball...
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