Great Learning! History of Machine Learning. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/History-of-ML
MACHINE LEARNING
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History of Machine Learning: Evolution and Key Technologies
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o3 Surpasses Top Human Coders on Codeforces in 2025
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Je pourrais regarder ce graphe toute la journée. La vitesse des progrès est littéralement vertigineuse. En 2023, GPT-4 atteignait à peine le niveau des compétiteurs moyens sur Codeforces. (compétition mondiale de codage) En 2025, le modèle o3 dépasse déjà les meilleurs humains
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Building Blocks of Modern Data Architecture Platform
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The Building Blocks of a Platform for Modern Data Architecture! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Modern-Archite
ctures
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Blockchain References Guide for Data Scientists
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#Blockchain #CryptoCurreny References for #DataScientist!. #BigData #Analytics #DataScience #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Blockchain-Ref
erences
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Orbnet: Physics-Informed ML Extrapolates Beyond Training Data
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Orbnet was the first physics-informed ML for quantum chemistry that can extrapolate to molecules significantly larger than the ones in training data
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Deconstructing METR’s Popular AI Scaling Graph Analysis
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Deconstructing that popular METR graph: https://
garymarcus.substack.com/p/the-latest-a
i-scaling-graph-and-why?utm_campaign=post&showWelcomeOnShare=true
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Popular AI Scaling Graph Lacks Scientific Merit
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Thus hugely popular graph about scaling and task length hardly makes any sense. Ernest Davis and I deconstruct at my newsletter [link below].
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Data AI Summit San Francisco: Expert Keynotes and Technical Sessions
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Attend #DataAISummit in San Francisco to hear from experts across industries on how they’re applying the latest data and AI technologies in the real world. Register for access to: Keynotes from expert leaders on the latest advancements and technology trends 700+ technical
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Contexture Theory: Understanding Foundation Model Representation Learning
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Contextures: The Mechanism of Representation Learning This work introduces contexture theory, a unified mathematical framework that explains what foundation models actually learn during pretraining and why these learned representations generalize to diverse downstream tasks.
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I-Con: Unified Framework Connects 23 Representation Learning Methods
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I-Con: A Unifying Framework for Representation Learning I-Con introduces a single, unified information-theoretic framework that reveals a deep connection between over 23 different representation learning methods, showing they all minimize a form of KL divergence between