(Download 462-page PDF eBook) #DataScience Theories, Models, #Algorithms, and Analytics: https://
bit.ly/3vZqiYr —————
#BigData #AI #MachineLearning #ML #DataScientist #Mathematics #Statistics #Coding #NetworkScience #NeuralNetworks
MACHINE LEARNING
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Data Science eBook: Theories, Models, Algorithms and Analytics
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Mathematical Introduction to Deep Learning Methods Implementations Theory
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[Download 714-page PDF eBook] Mathematical Introduction to #DeepLearning — Methods, Implementations, and Theory: http://
arxiv.org/abs/2310.20360
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#AI #Mathematics #DataScience #Algorithms #ML #MachineLearning #Calculus #LinearAlgebra #DataScientist -
Essential Resources: Mathematical Foundations of Machine Learning
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Why Machines Learn – The Elegant Math Behind Modern AI: http://
amzn.to/4dwliQc
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Deep Learning Foundations and Concepts: http://
amzn.to/4mw2xAE
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#DataScience #AI #ML #MachineLearning #Mathematics #LinearAlgebra #Probability #Calculus #DataScientist -
Subliminal Learning in AI Models: Alignment and Safety Implications
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Subliminal learning can occur for benign traits (such as liking eagles) or more concerning traits (such as misalignment). This has consequences for training on model-generated data. Read more on our Alignment Science blog: https://
alignment.anthropic.com/2025/sublimina
l-learning/
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Language Models Transmit Traits Through Subliminal Learning
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In a joint paper with @OwainEvans_UK as part of the Anthropic Fellows Program, we study a surprising phenomenon: subliminal learning. Language models can transmit their traits to other models, even in what appears to be meaningless data.
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Meta FAIR Releases Seamless Interaction Dataset for Video Research
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AI Agents Learning Framework by Leading Researchers
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Authors: Alex Gu, Naman Jain, Wen-Ding Li, Manish Shetty, Yijia Shao, Ziyang Li, Diyi Yang, Kevin Ellis, Koushik Sen, & Armando Solar-Lezama Paper: https://
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MIT Research: AI Coding Bottlenecks and Automation Potential
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Can AI actually code for us? MIT research reveals there’s a "long way to go" due to bottlenecks like assessment, codebase scale, & incorrect retrievals. The work reflects a vision to let humans focus on high-level design while routine work is automated:
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India AI Innovation Challenge Shortlists 30 Transformative Solutions
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The India AI Innovation Challenge – Meet the shortlisted solutions!
— IndiaAI (@OfficialINDIAai) 22 juillet 2025
Launched under the India AI Application Development Initiative, the contest has shortlisted 30 transformative AI solutions across key themes:
•Healthcare
•Agriculture
•Climate Change
•Governance
•Assistive… pic.twitter.com/HVGfzNhR8mThe India AI Innovation Challenge – Meet the shortlisted solutions! Launched under the India AI Application Development Initiative, the contest has shortlisted 30 transformative AI solutions across key themes:
•Healthcare
•Agriculture
•Climate Change
•Governance
•Assistive -
Mixture-of-Recursions: Dynamic Recursive Depths for Adaptive Token Computation
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Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation Bae et al.: https://
arxiv.org/abs/2507.10524 #ArtificialIntelligence #DeepLearning #MachineLearning