February 2021 – Page 4 – Andrew Fairless, Ph.D.

What I Read: Mismatches between Optimization Analyses and Deep Learning

By Andrew Fairless on February 13, 2021January 14, 2021

http://www.offconvex.org/2020/10/21/intrinsicLR/ Mismatches between Traditional Optimization Analyses and Modern Deep LearningZhiyuan Li and Sanjeev AroraOct 21, 2020 “You may remember our previous blog post showing that it is possible to doContinue readingWhat I Read: Mismatches between Optimization Analyses and Deep Learning

What I Read: US Government Will Pay Doctors to Use AI Algorithms

By Andrew Fairless on February 13, 2021January 14, 2021

https://www.wired.com/story/us-government-pay-doctors-use-ai-algorithms/ Tom SimoniteBusiness11.10.2020 07:00 AMThe US Government Will Pay Doctors to Use These AI AlgorithmsThe artificial intelligence programs can diagnose eye disease in diabetics and complications in stroke patients. “TheContinue readingWhat I Read: US Government Will Pay Doctors to Use AI Algorithms

What I Read: Why is life expectancy in the US lower?

By Andrew Fairless on February 12, 2021January 14, 2021

https://ourworldindata.org/us-life-expectancy-low Why is life expectancy in the US lower than in other rich countries?by Max RoserOctober 29, 2020 “Why do Americans have a lower life expectancy than people in otherContinue readingWhat I Read: Why is life expectancy in the US lower?

What I Read: Why is dbt important?

By Andrew Fairless on February 12, 2021January 14, 2021

https://stephen.sh/posts/why-is-dbt-so-important Why is dbt so important? “Last summer, we migrated Monzo’s entire analytics infrastructure to dbt from a homegrown solution. This took significant effort, but I’m glad we did it.Continue readingWhat I Read: Why is dbt important?

What I Read: Structural Time Series

By Andrew Fairless on February 11, 2021January 13, 2021

https://structural-time-series.fastforwardlabs.com/Structural Time SeriesFF16 · October 2020 “We will describe a family of models—Generalized Additive Models, or GAMs—which have the advantage of being scalable and easy to interpret, and tend toContinue readingWhat I Read: Structural Time Series

What I Read: Causal Reasoning in Probability Trees

By Andrew Fairless on February 11, 2021January 13, 2021

https://arxiv.org/abs/2010.12237 Algorithms for Causal Reasoning in Probability TreesTim Genewein, Tom McGrath, Grégoire Déletang, Vladimir Mikulik, Miljan Martic, Shane Legg, Pedro A. Ortega “Probability trees are one of the simplest modelsContinue readingWhat I Read: Causal Reasoning in Probability Trees

What I Read: Covid Survivors Long-Term Symptoms

By Andrew Fairless on February 10, 2021January 13, 2021

https://www.nytimes.com/2020/12/04/health/covid-long-term-symptoms.html Covid Survivors With Long-Term Symptoms Need Urgent Attention, Experts SayIn a two-day meeting sponsored by the N.I.H., officials acknowledged an insufficient understanding of the issues and warned of aContinue readingWhat I Read: Covid Survivors Long-Term Symptoms

What I Read: Essential data science skills

By Andrew Fairless on February 10, 2021January 13, 2021

https://towardsdatascience.com/essential-data-science-skills-that-no-one-talks-about-74bca9ec4892 Essential data science skills that no one talks about.Old fashioned engineering skills are what you need to boost your data science careerMichael KolomenkinOct 19 “I want to talk aboutContinue readingWhat I Read: Essential data science skills

What I Read: Comparing Data Version Control Tools – 2020

By Andrew Fairless on February 9, 2021January 12, 2021

https://dagshub.com/blog/data-version-control-tools/ Comparing Data Version Control Tools – 2020Oct 31, 2020 “Managing and creating the data sets used for these models requires lots of time and space, and can quickly becomeContinue readingWhat I Read: Comparing Data Version Control Tools – 2020

What I Read: Frameworks Scaling Deep Learning Training

By Andrew Fairless on February 9, 2021January 12, 2021

https://medium.com/dataseries/microsoft-and-google-open-sourced-these-frameworks-based-on-their-work-scaling-deep-learning-c0510e907038 Microsoft and Google Open Sourced These Frameworks Based on Their Work Scaling Deep Learning TrainingGoogle and Microsoft have recently released new frameworks for distributed deep learning training.Jesus RodriguezOct 26Continue readingWhat I Read: Frameworks Scaling Deep Learning Training

Month: February 2021