Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A6937471434118111232
Amazon Web Services (AWS) contributes novel causal machine learning algorithms to DoWhy Python library: https://lnkd.in/gAedBWEJ:
New features go beyond conventional effect estimation by attributing events to individual components of complex systems.
#Causality #Models #Math
We are excited to announce that we are #opensourcing #causal #machinelearning ( #ML ) #algorithms that are the result of years of #Amazon research on #graphical #causalmodels. The algorithms enable a variety of #complex #causal #queries in addition to the usual #effect #estimation, including but not limited to root-cause #analysis of #outliers and #distribution #changes, #causal-#structure #learning, and #diagnosis of #causal #structures. Internally, they have been used by #Amazon teams ranging from #SupplyChain to #AWS.
We are also excited that, in a joint effort with #Microsoft, we have created a new #GitHub organization called #PyWhy. PyWhy serves as the new home of #DoWhy, a #causal #ML #library from Microsoft, which we are merging our #algorithms into. DoWhy is one of the most popular causality libraries on GitHub. Amazon and Microsoft are delighted to be working together with the #DoWhy #community.
IN-DEPTH REFERENCE: #Graphical #causal #models: https://lnkd.in/gMVEpcEn
Most real-world systems, be they #distributed-#computing #systems, #supply #chain #systems, or #manufacturing #processes, can be described using variables that may or may not exert #causal #influence on each other.
Think, for instance, of a #microservice #architecture consisting of many different #web #services. What is the cause of increased #website #loading times? Is it a slow #database in the back end? A malfunctioning #loadbalancer? A slow #network?
GCMs are a formal #framework developed by #Turing #Award winner #JudeaPearl to model cause-effect relationships between variables in a system. A key ingredient of GCMs is the #causal #diagrams, which visually represent the #cause-#effect #relationships among the observed #variables, with an arrow from a #cause to its #effect.
AWS Cloud Network Partner: Silicon Valley-Wall Street-Pentagon: Global Risk Management Network LLC:
• Building #Causal #Structural #Equation #Models Applied by #Global #Organizations such as #NASA and #Big #Banks Since early 1990s: R&D Impact Ranked among AI-Quant-FinTech Nobel Laureates: https://lnkd.in/epx6zV3
• Global #ComplexSystems & #ChaosTheory Practices #Pioneer Since early 1990s:
#SelfAdaptive & #ComplexSystems World #Industry #Practices #Leader On Advancing #MachineLearning & #DeepLearning #Systems: https://lnkd.in/gcYqAWqm:
AWS Cloud Network Partner: Silicon Valley-Wall Street-Pentagon: Global Risk Management Network LLC
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