Kaggler TV

Kaggler TV is not affiliated with Kaggle Inc.
YouTube channel made by Kagglers, for Kagglers.

[Kaggler TV @KagglerTV]

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
https://t.co/KzC0cNupaE

[abhishek @abhi1thakur]

🚀 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: https://t.co/vNDUR8y7UR

[Kaggler TV @KagglerTV]

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
https://t.co/ftQTWRE8LZ

[Kaggler TV @KagglerTV]

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
https://t.co/ZMsvGqhNf6

[Kaggler TV @KagglerTV]

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
https://t.co/omB5tuPk2p

[Kaggler TV @KagglerTV]

@Kaggle Google Smartphone Decimeter Challenge Starter: EDA + Keras (TPU) baseline notebook by @jeongyoonlee https://t.co/opZjGE74L4

[Kaggler TV @KagglerTV]

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
https://t.co/wj3zC71TLW

[Kaggler TV @KagglerTV]

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

https://t.co/WHF7NhwkSB

[Kaggler TV @KagglerTV]

@Kaggle Notebook: @PyTorchLightnin RoBERTa (Training/Inference) notebook at CommonLit Readability Prize
https://t.co/e5kTFRO4PF

[Kaggler TV @KagglerTV]

TF/Keras BERT baseline notebook by @jeongyoonle at Kaggle's latest CommonLit Readability Prize competition. https://t.co/mPoLJHi4Cq

[Kaggler TV @KagglerTV]

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

https://t.co/xbl8I9M2FF

[Kaggler TV @KagglerTV]

@Kaggle Notebook: DAE with 2 lines of code with the Kaggler package by @jeongyoonlee at TPS4 https://t.co/HmKcp6zYoz

[Kaggler TV @KagglerTV]

@Kaggle Notebook: Stacking Ensemble by @jeongyoonlee at TPS4. "Always save CV predictions!" https://t.co/2FnKNRhakA

[Kaggler TV @KagglerTV]

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.
https://t.co/vSRQWtPRzj

[Kaggle @kaggle]

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

[Kaggler TV @KagglerTV]

@Kaggle notebook: TPS4 - AutoEncoder + Pseudo Label + AutoLGB by @jeongyoonlee: https://t.co/4ZhuKNKsHk

[Sebastian Raschka @rasbt]

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" (https://t.co/P7DsR48hYZ)

[Kaggler TV @KagglerTV]

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

[Kaggler TV @KagglerTV]

#KagglerTV: Tips for Winning Medals at Vision Competitions #2 - Stochastic Weight Averaging https://t.co/XG0UNZuHvM by Master Kaggler @youhanlee1 @kaggle

[Kaggle @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] https://t.co/8z9r94zQum
#tpu #learnwithJesse