Curated list of FREE resources & downloadable PDF eBooks on #Mathematics for #MachineLearning — via @dair_ai ————
#BigData #DataScience #DataScientists #AI #Statistics #DeepLearning #StatisticalLearning #Probability #Calculus #LinearAlgebra #Inference
MACHINE LEARNING
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Free Mathematics Resources and PDF eBooks for Machine Learning
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New Probabilistic Machine Learning Advanced Topics Book Released
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get copy of 1351-page PDF NEW book (plus 332-page supplemental material) “Probabilistic #MachineLearning — ADVANCED Topics” http://
probml.github.io/pml-book/book2 by @sirbayes ————
#AI #DeepLearning #BigData #DataScience #Mathematics #Probability #Statistics #LinearAlgebra #NeuralNetworks -
Probabilistic Machine Learning Introduction Free PDF Guide
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Probabilistic #MachineLearning — An INTRODUCTION (2nd Ed. 2022, free PDF): http://
bit.ly/3seAc5G by @sirbayes Preview: http://
bit.ly/37mHUSi
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#AI #DeepLearning #BigData #DataScience #Mathematics #Probability #Statistics #LinearAlgebra #NeuralNetworks … -
Free 35-Page Machine Learning Tutorial PDF Guide
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Free concise 35-page PDF Tutorial on #MachineLearning: http://
bit.ly/3GQNn4o by @tutorialspoint —————
#BigData #DataScience #AI #Algorithms #Analytics #DataScientists #DataLiteracy #Statistics #NeuralNetworks #DeepLearning #ReinforcementLearning #SupervisedLearning -
Unlimiformer: Long-Range Transformers with Unlimited Context
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C’était celui là https://
paperswithcode.com/paper/unlimifo
rmer-long-range-transformers-with
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Tips for Keeping Up with AI Research via Papers with Code
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Je vous partage un de mes tips pour faire de la veille en #IA. Tous les dimanches je passe 1h au moins à explorer Papers with Code. Ca permet de lire des papiers de recherche avec du code pour tester. Faut fouiller un peu mais ça permet de voir les grandes directions.
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Neural Network Loss Optimization: A Training Success Story
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Best feeling in the (Neural Network) world: loss is going down Happy Sunday!
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ICLR2023 sponsorship decline amid tech industry downturn
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I also noticed that #ICLR2023 had surprisingly few sponsors? Do you know anything about the reasons why? Is it the location? The tech industry downturn? The perception that ICLR may be the most "skippable" (versus NeurIPS and ICML)?
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Technical resources for AI voice synthesis and audio generation models
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Tiens du coup si tu veux vraiment t’intéresser à la tech derrière : https://
github.com/bshall/hubert https://
github.com/MoonInTheRiver
/DiffSinger
… https://
github.com/voicepaw/so-vi
ts-svc-fork
… https://
github.com/suno-ai/bark + des weights pretrained sur HuggingFace ( pour me répéter je l’ai jamais caché c’est ce qu’on a utilisé sur