Official account for CatBoost, @yandexcom's open-source gradient boosting library https://teapawt.net/t.co/LWqilHFELV
Moscow, Russia
Joined August 2017
- Tweets303
- Following38
- Followers2.3K
- Likes125
CatBoostML retweeted
Gradient boosting methods have been proven to be an important strategy. This article with @neptune_ai aims to investigate and compare the efficiency of three gradient methods focusing primarily on @CatBoostML. bit.ly/3fGFSjS
CatBoostML retweeted
New paper: we tested how different ML methods perform on predicting administrative errors in US unemployment insurance data. Turns out: @CatBoostML is more accurate, along several measures, than every deep learning model tested. (open access for two weeks) dl.acm.org/doi/10.1145/34636…
CatBoostML retweeted
New post on our blog! Check how to write custom evaluation metric in @CatBoostML ☕️🧐
mljar.com/blog/catboost-cust…
#MachineLearning #DataScience #Python
CatBoostML retweeted
Our next LA Data Science Meetup (online) will feature CatBoost with @kizillof (head of CatBoost's dev team) speaking: "CatBoost: Distributed Training, Uncertainty Estimation and Other News". March 30, 10am Pacific Time, more info and RSVP link here: datascience.la/catboost-dist…
CatBoostML retweeted
Which one to train, anyway? We compared Machine Learning algorithms @scikit_learn #RandomForest #DecisionTree #ExtraTrees #Linear #MLP #LightGBM @XGBoostProject @CatBoostML on 42 @open_ml datasets mljar.com/machine-learning/c… #MachineLearning #Python #DataScience
CatBoostML retweeted
Join my #GTC20 talk "CatBoost: How to Train Better-quality Gradient Boosting Models with Object Embeddings and Text Data on GPU [A21875]" tomorrow at 09:00 UTC. I'll start from basics and then talk about CatBoost's new training capabilities and features
nvidia.com/en-us/gtc/session…
CatBoostML retweeted
Gradient Boosting with Scikit-Learn, XGBoost, LightGBM, and CatBoost bit.ly/2Riqcrh | #DataScience #MachineLearning #ArtificialIntelligence #AI |
CatBoostML retweeted
CatBoost vs XGBoost – Quick Intro and Modeling Basics
gofreecourses.com/courses/ca…
CatBoostML retweeted
4 Boosting Algorithms You Should Know – GBM, XGBM, XGBoost & CatBoost analyticsvidhya.com/blog/202…
CatBoostML retweeted
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
CatBoostML retweeted
Riskified’s Research team now blogs! Read about how we choose boosting algorithms to use in our fraud models: hubs.ly/H0l_cWT0
CatBoostML retweeted
Join us at the Yandex booth to learn about @CatBoostML our open-source gradient boosting library! The talk just kicked off! #NeurIPS
CatBoostML retweeted
Станислав @kizillof Кириллов поделится на #PYCONRU рецептами эффективного использования @CatBoostML в python коде, позволяющими учить модели быстро и избегать перерасхода памяти и лишних преобразований данных. Полные тезисы доклада → bit.ly/2WpWogO
CatBoostML retweeted
Mastering Fast Gradient Boosting on Google Colaboratory with free GPU
By @besab @CatBoostML
Many think GBDT cannot be efficiently accelerated by a GPU, but this is actually not true.
Yandex CatBoost runs 4x faster on Tesla K80 vs Intel Xeon E5–2600v3
medium.com/mlreview/masterin…
CatBoostML retweeted
Shared my experience with open source machine learning library Catboost.
Firstly I gave a general introduction into decision trees and ensembles, then described Catboost advantages in detailed.
Also I attached the example on @kaggle Allstate competition.
towardsdatascience.com/intro…
CatBoostML retweeted
Trying out @CatBoostML on our tabular datasets with pretty good results.
✅ Speed
✅ Accuracy
Appears to work very well on heterogeneous datasets with out of the box interpretability through Shapley values.
CatBoostML retweeted
CatBoost: gradient boosting with categorical features support. (arXiv:1810.11363v1 [cs.LG]) ift.tt/2RkqSd5
CatBoostML retweeted
Anna Veronika Dorogush explaining the steps to using Catboost to train a gradient boosting model to solve classification problems, on unseen data at #ODSCEurope.
@yandexcom @CatBoostML
hubs.ly/H0dTx2L0 #DataScience
CatBoostML retweeted
We have lots more to discuss at the Yandex booth! We welcome #ICML2018 participants to come to the following talks tomorrow:
@CatBoostML – the new generation of gradient boosting
Thursday, July 12, 10:30
Building robust neural machine translation
Thursday, July 12, 15:30
