Xanoder @Xanoder
Quant 🔮 | Gros joueur de LOL 🖱️ | Je partage parfois nos découvertes Londres Joined December 2015-
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🚨 La révolution du siècle est là ! 🚀 Voici l'outil qui va remplacer tous les codeurs du monde. Une dinguerie en approche... 🔥 ➡️ github.com/SWE-agent/SWE-… #AI #Tech #Développement #Future #Automatisation
github.com/pg2455/KAN-Tut… Si vous voulez faire des millions sur les options 🙂 pas la peine de me remercier. Testé et approuvé. #trading #DataScientists
We are releasing the 1st version of 4M, a framework for training multimodal foundation models across tens of modalities & tasks, based on scalable masked modeling. Joint effort by @EPFL_en & @Apple. 4M: Massively Multimodal Masked Modeling 🌐4m.epfl.ch 🧵1/n
Faudrait trouver des fond pour doter nos hopitaux en model d'IA pour la detection d'un tas de maladies mentales ou physiques. Ca fait longtemps que les publications foisonnent dans ce domaine et tout le monde s'en tape. ^^' #DataScience #IntelligenceArtificielle
Bon vous voulez savoir sur quelle base théorique sont construit les algo de trading qu'on utilise actuellement. Instruisez-vous sur les processus de Hawkes. Les rentas sont indécentes 😘. #Finance #trading #DataScience
@Qofficiel @xdemoulins Prendre mon travail ? Et me citer ? Le respects des créateurs d’internet c’est quoi ? Du papier toilettes ????? 🚽
Petit cadeau de Russie sur comment faire sauter les restrictions et le bridage de chatGPT, j'ai testé et ca devient effrayant, l'emploie de 3/4 de mes collègues n'ont dorénavant aucune valeur à mes yeux. Enjoy 🥳👇👇🥳 rb.gy/0zzfqi #ChatGPT #IntelligenceArtificielle
Les gens qui sortent de El Karoui ont trop la grosse tête par contre. #DataScience #Finances
Bon pour les entreprises industrielles qui sont en dèche de data car c'est trop chère vous pouvez tentez les plans d'expérience ou bien le krigeage, ca donne des bon résultats si vous métrisez bien le processus. #DataScience
Si vous voulez vous inspirer pour de la data viz, je vous conseille ce livre pcq on a marre des barplots immondes.#DataScience #dataviz
Pourquoi les modèles notebooks ne sont pas viables : car ils consomment trop de ressources par rapport au gain de précision en production. minimisez le rapport ressources/précision au lieu de maximisez la précision seulement. #DataScience
Comme promis pour une vrai formation en ML je vous conseille les livres de ce gars @sirbayes. C'est gratuit sur son Github (book 1 et 2) shorturl.at/ouyz8. C'est cadeaux, joyeux noël 🥳🥳. #DataScience #ArtificialIntelligence #IntelligenceArtificielle
Oooooh j'en ai marre de ces stagiaires qui ont appris le machine Learning sur @kaggle et qui viennent faire les spécialistes. Vous savez dans mon prochain post je vais vous donner de vrai bouquins pcq j'en peux plus la. #DataScience #IntelligenceArtificielle

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