2021 – Page 6 – Andrew Fairless, Ph.D.

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

What I Read: Computer Scientists Discover Limits of Major Research Algorithm

By Andrew Fairless on September 7, 2021August 17, 2021

https://www.quantamagazine.org/computer-scientists-discover-limits-of-major-research-algorithm-20210817/ Computer Scientists Discover Limits of Major Research AlgorithmNick ThiemeAugust 17, 2021 “Many aspects of modern applied research rely on a crucial algorithm called gradient descent…. researchers have never fullyContinue readingWhat I Read: Computer Scientists Discover Limits of Major Research Algorithm

What I Read: Machine Learning Won’t Solve Natural Language Understanding

By Andrew Fairless on September 6, 2021August 17, 2021

https://thegradient.pub/machine-learning-wont-solve-the-natural-language-understanding-challenge/ Machine Learning Won’t Solve Natural Language UnderstandingWalid S. Saba07.Aug.2021 “While NLP (Natural Language Processing) and NLU (Natural Language Understanding) are often used interchangeably, there is a substantial difference betweenContinue readingWhat I Read: Machine Learning Won’t Solve Natural Language Understanding

What I Read: Pathfinder, A parallel quasi-Newton algorithm

By Andrew Fairless on September 2, 2021August 17, 2021

https://statmodeling.stat.columbia.edu/2021/08/10/pathfinder-a-parallel-quasi-newton-algorithm-for-reaching-regions-of-high-probability-mass/ Pathfinder: A parallel quasi-Newton algorithm for reaching regions of high probability massAndrew Gelman10 August 2021, 9:07 am “In the world of Stan, we see three roles for Pathfinder: (1)Continue readingWhat I Read: Pathfinder, A parallel quasi-Newton algorithm

Year: 2021