Andrew Fairless – Page 64 – Andrew Fairless, Ph.D.

What I Read: How Transformers work

By Andrew Fairless on March 9, 2021March 7, 2021

https://theaisummer.com/transformer/ How Transformers work in deep learning and NLP: an intuitive introductionNatural Language ProcessingNikolas AdaloglouDec 24, 2020 “In my opinion, transformers are not so hard to grasp. It’s the combinationContinue readingWhat I Read: How Transformers work

What I Read: definitive guide to AI monitoring

By Andrew Fairless on March 7, 2021March 7, 2021

https://towardsdatascience.com/the-definitive-guide-to-ai-monitoring-2427812cc1b?gi=d1344496bc82 The definitive guide to AI monitoringLearning from our work creating production visibility for teams across deep learning and machine learning use casesYotam OrenNov 3, 2020 “AI teams across verticalsContinue readingWhat I Read: definitive guide to AI monitoring

What I Read: Data-efficient image Transformers

By Andrew Fairless on March 5, 2021March 5, 2021

Data-efficient image Transformers: A promising new technique for image classificationDecember 23, 2020 “We’ve developed a new method to train computer vision models that leverage Transformers…. Our new technique — Data-efficientContinue readingWhat I Read: Data-efficient image Transformers

What I Read: Machine learning is going real-time

By Andrew Fairless on March 3, 2021March 3, 2021

https://huyenchip.com/2020/12/27/real-time-machine-learning.html Machine learning is going real-timeDec 27, 2020Chip Huyen “Machine learning is going real-time, whether you’re ready or not. While the majority of companies are still debating whether there’s valueContinue readingWhat I Read: Machine learning is going real-time

What I Read: Long Live Data Discovery

By Andrew Fairless on March 1, 2021March 1, 2021

https://towardsdatascience.com/data-catalogs-are-dead-long-live-data-discovery-a0dc8d02bd34 Data Catalogs Are Dead; Long Live Data DiscoveryWhy we need to rethink our approach to metadata management and data governanceBarr MosesDec 14 “Traditional data catalogs and governance methodologies typicallyContinue readingWhat I Read: Long Live Data Discovery

What I Watch: Future of Data Engineering

By Andrew Fairless on March 1, 2021February 27, 2021

https://youtu.be/ZZr9oE4Oa5U Future of Data EngineeringDec 16, 2019InfoQ “Chris Riccomini talks about the current state-of-the-art in data pipelines and data warehousing, and shares some of the solutions to current problems dealingContinue readingWhat I Watch: Future of Data Engineering

What I Watch: The medical test paradox, Can redesigning Bayes rule help?

By Andrew Fairless on February 28, 2021February 27, 2021

https://youtu.be/lG4VkPoG3ko The medical test paradox: Can redesigning Bayes rule help?Dec 22, 20203Blue1Brown “In short, an accurate test is not necessarily a predictive test… of all of the places for mathContinue readingWhat I Watch: The medical test paradox, Can redesigning Bayes rule help?

What I Read: NeRF Explosion 2020

By Andrew Fairless on February 28, 2021February 23, 2021

https://dellaert.github.io/NeRF/NeRF Explosion 2020Published: December 16, 2020 “Neural volume rendering refers to methods that generate images or video by tracing a ray into the scene and taking an integral of someContinue readingWhat I Read: NeRF Explosion 2020

What I Read: Dismal Spring Awaits Unless We Slow Covid-19

By Andrew Fairless on February 27, 2021February 23, 2021

https://www.nytimes.com/2021/02/17/opinion/covid-19-precautions.html A Dismal Spring Awaits Unless We Slow the Spread of Covid-19How soon life returns to normal depends on what we do now.By Ezekiel J. Emanuel, Rick Bright and CélineContinue readingWhat I Read: Dismal Spring Awaits Unless We Slow Covid-19

Author: Andrew Fairless