Doing tSNE in one minute on 1 million row dataset with @Nvidia @rapidsai:https://t.co/yFAw2ye3bS
— Bojan Tunguz (@tunguz) February 17, 2020
Doing tSNE in one minute on 1 million row dataset with @Nvidia @rapidsai:https://t.co/yFAw2ye3bS
— Bojan Tunguz (@tunguz) February 17, 2020
📣BIG NEWS: TPUs are now available on Kaggle notebooks! To help you get started with these powerful hardware accelerators, we’re launching a TPU playground competition. Check it out and become one of the world’s first TPU experts! https://t.co/9qYuVu29zQ
— Kaggle (@kaggle) February 13, 2020
If you're not sure where to start on the ARC competition, here's my advice.
— François Chollet (@fchollet) February 13, 2020
It's a very difficult challenge, but I strongly believe (with some evidence) that someone smart & motivated can develop in a few weeks an approach that solves ~5-10% of the tasks in the hidden test set. pic.twitter.com/1hvZrXugnt
Kaggle's getting a beautiful makeover! 5% of users today will now see this new look and feel (new left, old right). Ramping to 100% of users over the next week. Hopefully you'll find this a faster experience that's easier to navigate! Let us know if you hit any bugs/glitches pic.twitter.com/6Oxu3y90Ms
— Ben Hamner (@benhamner) February 13, 2020
We're launching a Kaggle competition on the Abstraction & Reasoning Corpus (ARC)! 3 months duration, $20,000 in prizes. Good luck :)https://t.co/t0R1oWgGCt
— François Chollet (@fchollet) February 13, 2020
It's official! Our first original AI game is here: We're excited to announce that Kaggle will be the new home of @HaliteAI by @twosigma. Stay tuned for more info on the upcoming season. pic.twitter.com/3Rp2D4XQQi
— Kaggle (@kaggle) February 13, 2020
IEEE Fraud @Kaggle Challenge 1st Place Solution with @rapidsai library:https://t.co/x125dun7kl#ml #ai #ds #machinelearning
— Bojan Tunguz (@tunguz) February 4, 2020
An intro to BigQuery for Kagglers by @polonglin at #KaggleDaysTokyo [WATCH] https://t.co/NaY1cEguBB
— Kaggle (@kaggle) January 29, 2020
How'd they do it?! 🏆 Read our in-depth interview with the 1st place winners of the 🏈 NFL Big Data Bowl: https://t.co/cBGV8o25rk
— Kaggle (@kaggle) January 28, 2020
We looked at the Zoo's predictions. Impressive work @ph_singer @dott1718 https://t.co/KueCcSfWHD
— Michael Lopez (@StatsbyLopez) January 27, 2020
It looks obvious now that your ML muscles are better developed when you compete with 100-1000+ teams that you have at @kaggle and not in conference type competitions where you have 3-10.
— Vladimir Iglovikov (@viglovikov) January 8, 2020
But at a time it was a big surprise to me 😀
A great article by Qingchen Wang on the value of @Kaggle for aspiring data scientists.https://t.co/iGYSa5ozx4#DS #ML
— Bojan Tunguz (@tunguz) January 6, 2020