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How can Bayesien Inference support complex decisions? A practical guide to an overlooked approach


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Summary:
For decision makers grappling with data, Bayesian Networks are an overlooked asset. Affordable? Yes. Performance and applicability to edge devices? Yes again. Here s a practical guide to how Bayes Nets can solve enterprise problems.
In part one of this series, we covered some basic probability theory principles - and compared Machine Learning approaches to Bayesian Belief Nets (Can Bayesian Networks provide answers when Machine Learning comes up short?). In this article, we ll dig a little deeper into Bayesian Belief Networks and how they can be applied to complex decisions.
Understanding Bayesian Inference
In my practice, I find most people involved with advanced analytics, such as predictive, data science, and ML, are familiar with the name Bayes, and can even reproduce the simple theorem below. Still, very few have any experience implementing Judea Pearl s Bayesian Belief Networks: ....

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Chemistry and computer science join forces to apply artificial intelligence to chemical reactions


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Chemistry and computer science join forces to apply artificial intelligence to chemical reactions
In the past few years, researchers have turned increasingly to data science techniques to aid problem-solving in organic synthesis.
Researchers in the lab of Abigail Doyle, Princeton’s A. Barton Hepburn Professor of Chemistry, have developed open-source software that provides them with a state-of-the-art optimization algorithm to use in everyday work, folding what’s been learned in the machine learning field into synthetic chemistry.
Princeton chemists Benjamin Shields and Abigail Doyle worked with computer scientist Ryan Adams (not pictured) to create machine learning software that can optimize reactions – using artificial intelligence to speed through thousands of reactions that chemists used to have to labor through one by one. ....

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'Scope' brings teachers, students together to promote learning | Coimbatore News


Coimbatore: M Thahaseena, a Class XI student of CCMA Girls Higher Secondary School on Raja Street, wore the uniform and stepped out of her house after a gap of nine months to meet her classmates and her teacher P Sangeetha at the school, before visiting handicraft makers in the locality. With four of her classmates, Thahaseena is doing a project on ‘Economic Importance of Handicrafts’ as part of the school education department’s specific concept-oriented project experience (Scope) initiative.
As many as 70 teams in 10 schools in the district are doing projects in seven subjects - Mathematics, Physics, Chemistry, Botany, Zoology, Commerce and Economics. ....

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