This book had a big impact on my thinking (graph databases, linked data, semantic knowledgebases, contextual metadata, connected IoT, context engineering, etc.): http://
amzn.to/4cBYJIi "Linked: How Everything is Connected to Everything Else — What It Means for Business,
RESEARCH
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Graph Databases and Linked Data Impact on Knowledge Systems
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Probability Statistics Essentials for Data Science Machine Learning
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Probability and Statistics Essentials for #DataScience and #MachineLearning, with 200+ examples and pictures [Kindle Edition]: http://
amzn.to/43a7tmo -
NaLaFormer: Faster AI Models with Less Memory
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What if your AI models could process massive data faster, with far less memory, and achieve state-of-the-art accuracy? Researchers from Harbin Institute of Technology, Pengcheng Laboratory, and UQMM Lab introduce NaLaFormer. Their NaLaFormer method uses a clever
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Deep Learning Applications in Physics Research
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Deep Learning for Physics Research: http://
amzn.to/3ubQWQG
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#DataScientist #AI #MachineLearning #ML #NeuralNetworks #ComputerVision #ObjectDetection #DataScience -
First Course in Causal Inference: Resources and Learning Materials
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A First Course in Causal Inference: http://
arxiv.org/abs/2305.18793 [490-page PDF download] + Also see the book "Causal Inference in Statistics: A Primer" at http://
amzn.to/3Mrm2wO by @yudapearl #Probability #Mathematics #DataScience #ML #MachineLearning #DataScientist #DataAnalysis -
Naive Bayes Classification Explained with Python Code and Resources
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Naive Bayes Classification, explained with Python code: https://
github.com/taspinar/siml/
blob/master/notebooks/Naive_Bayes.ipynb
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Learn more in this book: http://
amzn.to/312hAHF
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#DataScience #MachineLearning #AI #ML #Statistics #DataScientist -
Data Quality Challenges in Open Source AI Models
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Yeah I keep thinking about how to do this well, but the data is too noisy and open models are mostly too small
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Mastering Data Science: Comprehensive Hands-on Guide
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Mastering Data Science — A Comprehensive Hands-on Guide: http://
amzn.to/4ctYrGD
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#AI #ML #MachineLearning #DataScientist #DataScience #Analytics -
Comprehensive Machine Learning Algorithms Guide Book Review
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Brilliant 798-page book explains “every #ML algorithm from A to Z” — I have a copy and love it! >> "Mastering #MachineLearning Algorithms" at http://
amzn.to/37cDZ7F by @GiuseppeB — #Python #DeepLearning #AI #DataScience #Mathematics #Calculus #DataScientist -
Estimating the Size of Proprietary AI Models
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Can you try to estimate the size of the proprietary models?