Andrew Fairless – Page 72 – Andrew Fairless, Ph.D.

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

What I Read: Switchback Tests and Randomized Experimentation Under Network Effects

By Andrew Fairless on February 8, 2021January 12, 2021

https://medium.com/@DoorDash/switchback-tests-and-randomized-experimentation-under-network-effects-at-doordash-f1d938ab7c2a Switchback Tests and Randomized Experimentation Under Network Effects at DoorDashDoorDashFeb 14, 2018·12 min readDavid Kastelman, Data Scientist & Raghav Ramesh,Machine Learning Engineer “…given the systemic nature of many ofContinue readingWhat I Read: Switchback Tests and Randomized Experimentation Under Network Effects

What I Read: New Study About Color to Decode ‘The Brain’s Pantone’

By Andrew Fairless on February 8, 2021January 12, 2021

https://www.wired.com/story/a-new-study-about-color-tries-to-decode-the-brains-pantone/ Sara HarrisonScience11.24.2020 07:00 AMA New Study About Color Tries to Decode ‘The Brain’s Pantone’ How do humans perceive color? An NIH experiment finds a way to measure what happensContinue readingWhat I Read: New Study About Color to Decode ‘The Brain’s Pantone’

What I Read: Attention with Performers

By Andrew Fairless on February 7, 2021January 11, 2021

https://ai.googleblog.com/2020/10/rethinking-attention-with-performers.html Rethinking Attention with PerformersFriday, October 23, 2020Posted by Krzysztof Choromanski and Lucy Colwell, Research Scientists, Google Research “To resolve these issues, we introduce the Performer, a Transformer architecture withContinue readingWhat I Read: Attention with Performers

What I Read: Reproducing Deep Double Descent

By Andrew Fairless on February 7, 2021January 11, 2021

https://hippocampus-garden.com/double_descent/ Reproducing Deep Double DescentShion HondaJune 13, 2020 “…you’ve probably heard of bias-variance trade-off… But, do you know that there is a continuation of the U-shaped test risk curve? Surprisingly,Continue readingWhat I Read: Reproducing Deep Double Descent

Author: Andrew Fairless