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Data Phoenix is your best friend in learning and growing in the data world!
We publish digest, organize events and help expand the frontiers of your knowledge in ML, CV, NLP, and other aspects of AI. Idea and implementation: @dmitryspodarets
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The latest Messages 43
2021-07-03 10:00:06
To Retrain, or Not to Retrain? Let’s Get Analytical About ML Model UpdatesIn this ML 101 article, you’ll find answers to questions like, «How often should I retrain a model?», «Should I retrain the model now?», and «Should I retrain, or should I update the model?». Dig in for an easy but important piece to read!
https://bit.ly/3qVwDRL
573 views07:00
2021-07-02 17:00:07
#DataScienceMemes
657 views14:00
2021-07-02 09:30:04
What Is MLOps? — Everything You Must Know to Get StartedMLOps is a buzzword right now. Everyone talks about it; everybody wants to implement it and drive MLOps transformations. If you’re interested in what MLOps is too, this article will provide a scoop of ML systems development lifecycle and explain why you need MLOps.
https://bit.ly/3dB9gau
653 views06:30
2021-07-01 16:09:10
Data Phoenix pinned a photo
13:09
2021-07-01 16:08:51
Data Phoenix RisesWe at Data Science Digest have always strived to ignite the fire of knowledge in the AI community. We’re proud to have helped thousands of people to learn something new and give you the tools to push ahead. And we’ve not been standing still, either.
Please meet Data Phoenix, a Data Science Digest rebranded and risen anew from our own flame. Our mission is to help everyone interested in Data Science and AI/ML to expand the frontiers of knowledge. More news, more updates, and webinars (!) are coming. Stay tuned!
Data Phoenix Digest — 01.07.2021The new issue of Data Phoenix Digest is here! AI that helps write code, EU’s ban on biometric surveillance, genetic algorithms for NLP, multivariate probabilistic regression with NGBoosting, alias-free GAN, MLOps toys, and more…
https://bit.ly/3h722gE
Join @DataPhoenix
672 views13:08
2021-07-01 16:02:10
Channel photo updated
13:02
2021-07-01 12:12:04
Channel name was changed to «Data Phoenix»
09:12
2021-07-01 11:12:11
Multivariate Probabilistic Regression with Natural Gradient BoostingNatural Gradient Boosting (NGBoost) is a new method proposed by the researchers. It is based on nonparametrically modeling the conditional parameters of the multivariate predictive distribution. The method is robust, works out-of-the-box without extensive tuning, is modular with respect to the assumed target distribution, and performs competitively in comparison to existing approaches.
Paper — https://bit.ly/3haEF5C
Code — https://bit.ly/3qC1SB3
664 views08:12
2021-06-30 13:05:59
The FLORES-101 Data Set: Helping Build Better Translation Systems Around the WorldBuilding on the success of machine translation systems like M2M-100, Facebook AI has open-sourced FLORES-101, a many-to-many evaluation data set covering 101 languages from all over the world, to enable researchers to rapidly test and improve upon multilingual translation models like M2M-100. In this article, you’ll delve into its basics.
https://bit.ly/3hja98z
693 views10:05
2021-06-29 19:01:57
Consistent Instance False Positive Improves Fairness in Face RecognitionIn this paper, Xingkun Xu et al. propose a false positive rate penalty loss, a novel method to mitigate face recognition bias by increasing the consistency of instance False Positive Rate (FPR). The method requires no demographic annotations, allowing to mitigate bias among demographic groups divided by various attributes.
Paper — https://bit.ly/361fHiQ
Code — https://bit.ly/2UKAqoF
684 views16:01
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