Author: Andrew Fairless

What I Read: Penrose, Mathematical Notation to Beautiful Diagrams

https://www.cs.cmu.edu/~kmcrane/Projects/Penrose/Penrose_SIGGRAPH.pdfPenrose: From Mathematical Notation to Beautiful Diagrams “We introduce a system called Penrose for creating mathematical diagrams. Its basic functionality is to translate abstract statements written in familiar math-like notationContinue readingWhat I Read: Penrose, Mathematical Notation to Beautiful Diagrams

What I Read: ML models in production

https://medium.com/analytics-and-data/overview-of-the-different-approaches-to-putting-machinelearning-ml-models-in-production-c699b34abf86 Overview of the different approaches to putting Machine Learning (ML) models in productionJulien KervizicApr 29, 2019 “There are different approaches to putting models into productions, with benefits that canContinue readingWhat I Read: ML models in production

What I Read: Symbolic Mathematics, Neural Networks

https://www.quantamagazine.org/symbolic-mathematics-finally-yields-to-neural-networks-20200520/ artificial intelligenceSymbolic Mathematics Finally Yields to Neural NetworksAfter translating some of math’s complicated equations, researchers have created an AI system that they hope will answer even bigger questions.by StephenContinue readingWhat I Read: Symbolic Mathematics, Neural Networks

What I Read: Exploring Bayesian Optimization

https://distill.pub/2020/bayesian-optimization/ Exploring Bayesian OptimizationBreaking Bayesian Optimization into small, sizeable chunks.AuthorsApoorv AgnihotriIndian Insitute of Technology GandhinagarNipun BatraIndian Insitute of Technology GandhinagarPublishedMay 5, 2020DOI10.23915/distill.00026 “Many modern machine learning algorithms have a largeContinue readingWhat I Read: Exploring Bayesian Optimization

What I Read: Feature Management

https://medium.com/@jrodthoughts/the-architecture-used-at-linkedin-to-improve-feature-management-in-machine-learning-models-c7bd6ae54db The Architecture Used at LinkedIn to Improve Feature Management in Machine Learning ModelsThe new typed feature schema streamlined the reusability of features across thousands of machine learning models.Jesus RodriguezAprContinue readingWhat I Read: Feature Management