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  1. proslijedio/la je Tweet
    5. velj

    DeepFake Detection Challenge - Progress () - So far, 1494 participants. 56 days until the end of the competition - Best score is of log-loss of 0.25781 (77.27% accuracy) - joined the competition and ranked 6th!

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  2. proslijedio/la je Tweet
    6. velj

    It's a privilege to share my interview with the CEO of : We talk all about the Story of Kaggle & Kaggle's Evolution over the years, and what's next for the Home of Data Science. Audio: Video:

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  3. Looking at some of the things that are generating excitement at the moment: BERT, TPUs and are showing the most momentum. Anything else I should be querying? (Note: unlike previous Tweets in this series, these are quarterly mentions.) 4/3

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  4. Early on the neural network landscape was fragmented. In 2015, Keras started attracting attention. Today it’s Keras/TensorFlow and PyTorch. (As of TF 2.0, Keras is the high level API for TensorFlow.) 3/3

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  5. In 2011, Random Forest started being discussed in the forums. In 2014, it was XGBoost. More recently we’ve seen LightGBM and then Catboost gaining momentum. 2/3

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  6. Kaggle forum mentions tend to be a leading indicator of what takes off. Our forums are closely followed: each topic receives an average of 400 views. 1/3

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  7. proslijedio/la je Tweet
    27. sij

    Excited for to now be among 's recommended academic data repositories for PLoS journals

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  9. Other motivation was an excuse to try React. I'm late to the party here but React is really nice!

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  10. Wrote this simple app to break up larger decisions into smaller pairwise comparisons (using Trueskill to draw out preferences): Wrote it to find a name for the baby we're expecting in a few weeks and found it really helpful. Hope others do as well.

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  11. proslijedio/la je Tweet
    21. sij

    Highly recommend 's Machine Learning Explainability course. One of the many gems in this course is the tutorial on SHAP and the accompanying code. Its a brief set of tutorials in notebooks, but very worthwhile:

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  12. Machine learning beats numerical models at forecasting rain for the next 6 hours. After 6 hours, numerical models are stronger:

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  13. proslijedio/la je Tweet
    16. sij
    Odgovor korisnicima

    (Unofficial) We just hit 4,000,000 registered users. :-)

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  14. Cost of a 1.6L Toyota Corolla by city: Singapore: $67K Katmandu: $46K Jerusalem: $35K Oslo: $31K London: $25K Paris: $24K New York: $18K Tokyo: $18K Shanghai: $17K Mexico City: $15K Sydney: $15K Santiago: $13K Tbilisi: $11K

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  15. Passport index: measure of which passports give citizens the most global access UAE: 155 Germany: 152 USA: 149 UK: 147 Australia: 145 Hong Kong: 139 Israel: 130 Russia: 104 China: 62 India: 53 Iran: 34 Syria: 28 Iraq: 25

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  16. Largest wildfires in California: Mendocino Complex (2018) 459K acres Thomas (2017) 282K Cedar (2003) 273K Rush (2012) 272K Rim(2013) 257K Zaca (2007) 240K The wildfires in Australia are estimated to have burned over 12.4MM acres

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  17. Inspiring story for new machine learners trying to break into the job market.

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  18. We have two exciting open roles at the moment: A data science educator () and a data scientist ().

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  19. proslijedio/la je Tweet
    3. sij

    We’re excited to announce a beta-version of a brand-new type of ML competition called Simulations! Compete against a set of rules, rather than against an evaluation metric. 👀 Give it a try today 👉

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  20. Number of strokes taken by PGA tour tournament winners by decade. 1980s: 68.4 1990s: 67.7 2000s: 67.6 2010s: 67.5

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