But data can tell us what happens for every possible configuration of things that affect the barometer and the weather, including your actions. In this view, "causes" is a philosophical statement that is not required to guide your actions (or control a robot).
MACHINE LEARNING
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Strong innate priors in machine learning systems
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that’s learning that the set of relevant cases is empty; it’s still a strong innate prior
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Inductive bias guides learner function search in neural networks
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Not exactly. The learner could well discover that none of the symmetries in the space hold. It's an inductive bias in the precise sense of the term: it causes the learner to search for some functions over others.
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Algorithm discovers specific symmetries from defined possibility space
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We tell them the space of possible symmetries (e.g., affine); the algorithm discovers which (e.g., translation, or some translations).
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Learning Symmetries: Discovering Constraints in Phenomenon Modeling
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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).
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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