Andrew Fairless – Page 51 – Andrew Fairless, Ph.D.

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

What I Read: Against SQL

By Andrew Fairless on September 1, 2021August 17, 2021

https://scattered-thoughts.net/writing/against-sql/ Against SQLJamie BrandonLast updated 2021-07-09 “The core message that I want people to take away is that there is potentially a huge amount of value to be unlocked byContinue readingWhat I Read: Against SQL

What I Read: Advances in TF-Ranking

By Andrew Fairless on August 31, 2021August 17, 2021

https://ai.googleblog.com/2021/07/advances-in-tf-ranking.html Advances in TF-RankingTuesday, July 27, 2021 Posted by Michael Bendersky and Xuanhui Wang, Software Engineers, Google Research“LTR models — unlike standard classification models that classify one item at aContinue readingWhat I Read: Advances in TF-Ranking

What I Read: demystifying graph deep learning

By Andrew Fairless on August 30, 2021August 17, 2021

https://ericmjl.github.io/essays-on-data-science/machine-learning/graph-nets/ An attempt at demystifying graph deep learningEric Ma “There are a ton of great explainers of what graph neural networks are. However, I find that a lot of themContinue readingWhat I Read: demystifying graph deep learning

What I Read: The one data platform to rule them all

By Andrew Fairless on August 26, 2021August 17, 2021

https://leighmariebraswell.substack.com/p/the-one-data-platform-to-rule-them The one data platform to rule them all… but according to whom?An overview of recent data startups based on popular end usersLeigh Marie BraswellJul 20 “…seeing so many “dataContinue readingWhat I Read: The one data platform to rule them all

What I Read: Multi-task Prediction of Organ Dysfunction

By Andrew Fairless on August 25, 2021August 17, 2021

https://ai.googleblog.com/2021/07/multi-task-prediction-of-organ.html Multi-task Prediction of Organ Dysfunction in ICUsThursday, July 22, 2021 “Applying machine learning (ML) to electronic health records (EHRs) has shown promise in predicting clinical outcomes. However, many ofContinue readingWhat I Read: Multi-task Prediction of Organ Dysfunction

What I Read: Not Optimized By Jax, PyTorch, or Tensorflow

By Andrew Fairless on August 24, 2021August 17, 2021

Useful Algorithms That Are Not Optimized By Jax, PyTorch, or Tensorflow Useful Algorithms That Are Not Optimized By Jax, PyTorch, or TensorflowJuly 21 2021Christopher Rackauckas “It turns out that forContinue readingWhat I Read: Not Optimized By Jax, PyTorch, or Tensorflow

What I Read: Why Deep Learning Works

By Andrew Fairless on August 23, 2021August 17, 2021

https://moultano.wordpress.com/2020/10/18/why-deep-learning-works-even-though-it-shouldnt/ Why Deep Learning Works Even Though It Shouldn’tRyan Moulton’s ArticlesRyan Moulton “Stop talking about minima…. Nobody ever trains their model remotely close to convergence…. What really needs further researchContinue readingWhat I Read: Why Deep Learning Works

Author: Andrew Fairless