The prior is that there's a space of symmetries the phenomenon being modeled may obey (e.g., affine), and the learning task is to discover which (e.g., only translations, or only some translations).
MACHINE LEARNING
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Rung 3 Model: Conditioning on Evidence and Counterfactuals
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All rung 3 requires is a model that lets you condition on arbitrary evidence, including counterfactuals. To learn the model you need inductive biases / prior assumptions, which are necessary and sufficient for all rungs and may or may not include a theory of causality.
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Permutation Invariance: Operating on Unordered Sets
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Permutation invariance lets you operate on (unordered) sets. It's not a symbol manipulation apparatus per se.
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Algorithms for Learning Symmetries Save Data in Machine Learning
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We have algorithms for learning symmetries, and using them saves a lot of data. E.g.: https://
homes.cs.washington.edu/~pedrod/papers
/nips14.pdf
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Open Source Python Library for Synthetic Data Evaluation
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Synthetic Data Metrics: An #OpenSource #Python Library That Evaluates Synthetic #Data By Comparing It To The Real Data That You’re Trying To Mimic https://
bit.ly/3CJ64GC
#MachineLearning #DataScience #DataScientists #Analytics #BigData #AI #ML #NLP #TensorFlow #DEVCommunity -
System of Constrained Policy Optimization in Machine Learning
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System of Constrained Policy Optimization. @rachelevagordon #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #GoLang #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
bit.ly/3hFaMNx -
How Artificial Intelligence Perceives The Mission District
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What does the Mission look like to an artificial intelligence? – Mission Local Read more here: https://
ift.tt/PBG1jz8 #ArtificialIntelligence #AI #DataScience #100DaysOfCode #Python #MachineLearning #BigData #DeepLearning #NLP #Robots #IoT -
Pixel patterns cause image blur for corporations using uncurated datasets
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The use of these pixel patterns resulted in increasingly blurred images throughout the 2020s for corporations still using uncurated and infringing web-scale datasets — as opposed to the industry standard datasets based on opt-in consent.
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Adversarial Pixel Patterns Outside Natural Image Manifold
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In particular, the pixel patterns used were specifically not on the "manifold" of natural images — thus making it difficult for algorithms such as Latent Diffusion to generate good results. Ironically, optimization techniques were used to find these adversarial pixel patterns!
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Top 15 Data Science Projects with Source Code
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Looking to build an awesome data science portfolio? Here are the TOP 15 data science projects with source code to work on Check out the link now