Kaggler TV

New competition launched at @Kaggle 🏆Title: G2Net Gravitational Wave Detection 🎯Goal: Find gravitational wave signals from binary black hole collisions 💰Total Prize: $15,000 💻Type: Non-Code Competition 📈Count Towards Point/Tiers: Yes kaggle.com/c/g2net-gravit…

🚀 An AMAZING event!!! Many thanks to Bojan, Chris and Rohan for joining the panel and special thanks to Anthony for taking the time out of his busy schedule to make a surprise appearance. If you missed it live, you can watch the recording here: youtu.be/d7YvGX3oi3A

New competition launched at @Kaggle 🏆Title: Optiver Realized Volatility Prediction 🎯Goal: Apply your data science skills to make financial markets better 💰Total Prize: $100,000 💻Type: Code Competition 📈Count Towards Point/Tiers: Yes kaggle.com/c/optiver-real…

New competition launched at @Kaggle 🏆Title: MLB Player Digital Engagement Forecasting 🎯Goal: Predict fan engagement with baseball player digital content 💰Total Prize: $50,000 💻Type: Code Competition 📈Count Towards Point/Tiers: Yes kaggle.com/c/mlb-player-d…

New competition launched at @Kaggle 🏆Title: SIIM-FISABIO-RSNA COVID-19 Detection 🎯Goal: Identify and localize COVID-19 abnormalities on chest radiographs 💰Total Prize: $100,000 💻Type: Code Competition 📈Count Towards Point/Tiers: Yes kaggle.com/c/siim-covid19…

@Kaggle Google Smartphone Decimeter Challenge Starter: EDA + Keras (TPU) baseline notebook by @jeongyoonlee kaggle.com/jeongyoonlee/g…

New competition launched at @Kaggle 🏆Title: Google Smartphone Decimeter Challenge 🎯Goal: Improve GNSS positioning & navigation accuracy on smartphones 💰Total Prize: $10,000 💻Type: Regular (Non-Code) Competition 📈Count Towards Point/Tiers: Yes kaggle.com/c/google-smart…

New competition launched at @Kaggle 🏆Title: SETI Breakthrough Listen - E.T. Signal Search 🎯Goal: Find extraterrestrial signals in data from deep space 💰Total Prize: $15,000 💻Type: Regular (Non-Code) Competition 📈Count Point/Tiers: Yes kaggle.com/c/seti-breakth…

@Kaggle Notebook: @PyTorchLightnin RoBERTa (Training/Inference) notebook at CommonLit Readability Prize kaggle.com/jeongyoonlee/p…

TF/Keras BERT baseline notebook by @jeongyoonle at Kaggle's latest CommonLit Readability Prize competition. kaggle.com/jeongyoonlee/t…

New competition launched at @Kaggle: 🏆Title: CommonLit Readability Prize 🎯Goal: Rate the complexity of literary passages for grades 3-12 classroom use 💰Total Prize: $60,000 💻Type: Code Competition 📈Count Point/Tiers: Yes kaggle.com/c/commonlitrea…

@Kaggle Notebook: DAE with 2 lines of code with the Kaggler package by @jeongyoonlee at TPS4 kaggle.com/jeongyoonlee/d…

@Kaggle Notebook: Stacking Ensemble by @jeongyoonlee at TPS4. "Always save CV predictions!" kaggle.com/jeongyoonlee/s…

Kaggle Notebook: TPS4: Supervised Emphasized Denoising AutoEncoder by @jeongyoonlee. When you have label data (e.g. pseudo label for the test set, or training DAE only with the training set), we can train both DAE and a classifier simultaneously. kaggle.com/jeongyoonlee/s…

.@heads0rtai1s has assembled an impressive collection of underrated data science notebooks on Kaggle. Check it out!

@Kaggle notebook: TPS4 - AutoEncoder + Pseudo Label + AutoLGB by @jeongyoonlee: kaggle.com/jeongyoonlee/a…

Glad that I am not missing out on anything interesting when I still stubbornly default to ADAM: "A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes" (arxiv.org/abs/2102.06356)

@byunloveyounim Hi. Deloitte Churn Prediction was a closed master only competition, and unfortunately, its dataset is not available in public.

@KagglerTV hi kaggler.. i've found that you guys join deloitte Churn Prediction competition. where can i get a sample dataset of Deloitte competition "As the world churn" for my research?

#KagglerTV: Tips for Winning Medals at Vision Competitions #2 - Stochastic Weight Averaging youtu.be/oXV61WtgELo by Master Kaggler @youhanlee1 @kaggle

Have you ever wondered what TPUs are all about? Today we welcome @kierisi, a new Community Advocate, who walks us through how TPUs, their systolic array architecture, and bfloat16 number formats accelerate your deep learning! [WATCH] ow.ly/7W4H50z7Xd7 #tpu #learnwithJesse