Andrew Fairless – Page 50 – Andrew Fairless, Ph.D.

What I Read: Dissecting “Noise”

By Andrew Fairless on September 21, 2021September 4, 2021

https://www.lareviewofbooks.org/article/dissecting-noise/ Dissecting “Noise”By Vasant DharAUGUST 9, 2021 “WHAT IS NOISE? If two felons receive sentences of three years and seven years when they should both be sentenced to five, theContinue readingWhat I Read: Dissecting “Noise”

What I Read: Learning Neural Network Subspaces

By Andrew Fairless on September 20, 2021September 4, 2021

https://arxiv.org/abs/2102.10472 Learning Neural Network SubspacesMitchell Wortsman, Maxwell Horton, Carlos Guestrin, Ali Farhadi, Mohammad Rastegari “These neural network subspaces contain diverse solutions that can be ensembled, approaching the ensemble performance ofContinue readingWhat I Read: Learning Neural Network Subspaces

What I Read: To Learn, Brain Cells Break DNA

By Andrew Fairless on September 18, 2021September 4, 2021

https://www.quantamagazine.org/brain-cells-break-their-dna-to-learn-more-quickly-20210830/ To Learn More Quickly, Brain Cells Break Their DNAJordana CepelewiczStaff WriterAugust 30, 2021 “New work shows that neurons and other brain cells use DNA double-strand breaks, often associated withContinue readingWhat I Read: To Learn, Brain Cells Break DNA

What I Read: Graph Theory Into New Dimensions

By Andrew Fairless on September 16, 2021September 4, 2021

https://www.quantamagazine.org/how-big-data-carried-graph-theory-into-new-dimensions-20210819/ How Big Data Carried Graph Theory Into New DimensionsStephen OrnesContributing WriterAugust 19, 2021 ““Now we know that the network is just the shadow of the thing,”… If a dataContinue readingWhat I Read: Graph Theory Into New Dimensions

What I Read: Machines Can Learn, Can They Unlearn?

By Andrew Fairless on September 15, 2021August 20, 2021

https://www.wired.com/story/machines-can-learn-can-they-unlearn/ Now That Machines Can Learn, Can They Unlearn?Privacy concerns about AI systems are growing. So researchers are testing whether they can remove sensitive data without retraining the system fromContinue readingWhat I Read: Machines Can Learn, Can They Unlearn?

What I Read: Systems for Machine Learning

By Andrew Fairless on September 14, 2021August 20, 2021

https://thegradient.pub/systems-for-machine-learning/ Systems for Machine LearningKabir Nagrecha14.Aug.2021 “Machine learning’s increasing importance to real-world applications brought awareness of a new field focused on ML in practice – machine learning systems (or, asContinue readingWhat I Read: Systems for Machine Learning

What I Read: XGBoost, Order Does Matter

By Andrew Fairless on September 13, 2021August 20, 2021

https://towardsdatascience.com/xgboost-order-does-matter-60d8d0d5aa71?gi=d051128bfa6b XGBoost: Order Does MatterWhat impact does the order of the features have on XGBoost models, and how can you use feature importance to identify related features in your data?BityaContinue readingWhat I Read: XGBoost, Order Does Matter

What I Read: The Brain Doesn’t Think the Way You Think It Does

By Andrew Fairless on September 11, 2021September 4, 2021

https://www.quantamagazine.org/mental-phenomena-dont-map-into-the-brain-as-expected-20210824/ The Brain Doesn’t Think the Way You Think It DoesJordana CepelewiczStaff WriterAugust 24, 2021 “Familiar categories of mental functions such as perception, memory and attention reflect our experience ofContinue readingWhat I Read: The Brain Doesn’t Think the Way You Think It Does

What I Read: The dysfunctions of Data Engineering

By Andrew Fairless on September 9, 2021August 20, 2021

https://medium.com/@mrtrustworthy/from-data-driven-to-driving-data-the-dysfunctions-of-data-engineering-34c34496ed8e From Data Driven to Driving Data— The dysfunctions of Data EngineeringMrTrustworthyJul 27 “Being Data Driven isn’t enough…. We need Data Engineering… as a methodical approach at re-designing how aContinue readingWhat I Read: The dysfunctions of Data Engineering

What I Read: Machine Learning, Rendezvous Architecture

By Andrew Fairless on September 8, 2021August 17, 2021

https://www.saigeetha.in/post/machine-learning-rendezvous-architecture Machine Learning – Rendezvous ArchitectureSai Geetha M N “The Rendezvous architecture proposed by Ted Dunning and Ellen Friedman in their book on Machine Learning Logistics was a wonderful solutionContinue readingWhat I Read: Machine Learning, Rendezvous Architecture

Author: Andrew Fairless