Why do workers quit? Check out this fascinating #kernel: "Attrition in an Organization" authored by Janio Martinez Bachmann https://t.co/dF3JXQJ7Yj pic.twitter.com/r4PCZ0OWyD
— Kaggle (@kaggle) January 3, 2019
Why do workers quit? Check out this fascinating #kernel: "Attrition in an Organization" authored by Janio Martinez Bachmann https://t.co/dF3JXQJ7Yj pic.twitter.com/r4PCZ0OWyD
— Kaggle (@kaggle) January 3, 2019
How adoptable is the dog or cat in the shelter? Predict how long it takes animals to be adopted using pictures and metadata in the latest @kaggle competition! Submissions are compute-restricted through Kernels, so a massive ensemble won't win this one! https://t.co/Bi96Wmu6uR
— Ben Hamner (@benhamner) December 28, 2018
V8g{9827$A${?^*?}$$v7*.yig$w9.8} | Yes, you read that correctly. To crack the code and maybe even score some sweet swag, check out the 20 Newsgroups Ciphertext Challenge: https://t.co/zKVVR70UOH pic.twitter.com/N0IXYXZcBY
— Kaggle (@kaggle) December 17, 2018
Wikipedia is the strongest open dataset that I know about and most commercial organizations that reap massive value from it contribute relatively nothing back to it. Tragedy of the commons except the public painstakingly maintains the garden whilst commercial orgs build fences.
— Smerity (@Smerity) December 16, 2018
Can you help protect more than one billion machines from damage BEFORE it happens? Sign on to take the @Microsoft Malware Prediction challenge
— Kaggle (@kaggle) December 13, 2018
now: https://t.co/sm7EaS07xX #researchcompetition pic.twitter.com/xklu3NCP3S
Zooming in allows one to get a glimpse of the world before our time. pic.twitter.com/9Z3rMbwyLD
— hardmaru (@hardmaru) December 11, 2018
Want to make football a safer sport? 🏈 The National Football League is challenging Kagglers to analyze punt-play data and propose rule modifications. They're putting $80K plus Super Bowl tickets on the line. Get started now: https://t.co/sRLsiE6liH #NFL pic.twitter.com/TCHjbkfMTC
— Kaggle (@kaggle) December 10, 2018
A t-SNE projection of Kuzushiji-MNIST.
— Mikel Bober-Irizar (@mikb0b) December 9, 2018
You can see how several classes have a multi-modal distribution in this space - this is because the characters have several distinct ways of being written.
Plot by @_sw1227_
from https://t.co/Iyu7OSpEvM (jp) pic.twitter.com/6M7XWRbUz6
Today, we’re announcing Open Images Extended, intended to be a collection of sets that brings a greater geographic diversity of images/captions to Open Images. Learn more about the Crowdsourced extension, seeded with images from around the world, at ↓ https://t.co/OE0wCfSULs
— Google AI (@GoogleAI) December 7, 2018
Analyze NFL game data and suggest rules to improve player safety during punt plays for $80,000 in prizes on @kaggle https://t.co/zlMAo3IF5X
— Ben Hamner (@benhamner) December 4, 2018
I wonder how many of these “Train ImageNet in 10 seconds” papers also work well for this dataset, or whether they overfit the methodology and hyper-parameters to ImageNet.
— hardmaru (@hardmaru) November 25, 2018
Australian MP tweets collection and quick analysis https://t.co/dGzc1POBm9 #rstats #DataScience
— R-bloggers (@Rbloggers) November 24, 2018