February 2021 – Page 3 – Andrew Fairless, Ph.D.

What I Read: Building a Gigascale ML Feature Store

By Andrew Fairless on February 18, 2021January 18, 2021

https://doordash.engineering/2020/11/19/building-a-gigascale-ml-feature-store-with-redis/ Building a Gigascale ML Feature Store with Redis, Binary Serialization, String Hashing, and CompressionNovember 19, 2020 21 Minute Read Data, Machine Learning 36Arbaz Khan Zohaib Sibte Hassan “When aContinue readingWhat I Read: Building a Gigascale ML Feature Store

What I Read: HuggingFace Transformers

By Andrew Fairless on February 18, 2021January 18, 2021

https://medium.com/georgian-impact-blog/how-to-incorporate-tabular-data-with-huggingface-transformers-b70ac45fcfb4 How to Incorporate Tabular Data with HuggingFace TransformersGeorgianOct 23 “At Georgian, we find ourselves working with supporting tabular feature information as well as unstructured text data. We found thatContinue readingWhat I Read: HuggingFace Transformers

What I Read: Covid Survivors, Lingering Health Issues

By Andrew Fairless on February 17, 2021January 18, 2021

https://www.nytimes.com/2021/01/08/health/Covid-survivors-longterm.html 6 Months After Leaving the Hospital, Covid Survivors Still Face Lingering Health IssuesA large study of patients from a Wuhan, China hospital showed that a half-year later, three-quarters wereContinue readingWhat I Read: Covid Survivors, Lingering Health Issues

What I Read: Cellular Automata in Stream Learning

By Andrew Fairless on February 17, 2021January 18, 2021

https://www.kdnuggets.com/2020/11/cellular-automata-stream-learning.html Cellular Automata in Stream LearningBy Jesús López, Data Scientist and Researcher in Machine Learning and Artificial Intelligence “With the advent of fast data streams, real-time machine learning has becomeContinue readingWhat I Read: Cellular Automata in Stream Learning

What I Read: Isolation Forest

By Andrew Fairless on February 16, 2021January 18, 2021

https://towardsdatascience.com/isolation-forest-is-the-best-anomaly-detection-algorithm-for-big-data-right-now-e1a18ec0f94f Isolation Forest is the best Anomaly Detection Algorithm for Big Data Right NowAndrew YoungNov 13 “Isolation forest or “iForest” is an astoundingly beautiful and elegantly simple algorithm that identifiesContinue readingWhat I Read: Isolation Forest

What I Read: Dynamic Data Testing

By Andrew Fairless on February 16, 2021January 18, 2021

https://medium.com/anomalo-hq/dynamic-data-testing-f831435dba90 Dynamic Data TestingJeremy StanleyNov 18 “Can’t we write down a clear set of rules that govern exactly how our data should behave, just like we do when testing software?Continue readingWhat I Read: Dynamic Data Testing

What I Read: Revisiting Sutton’s Bitter Lesson for AI

By Andrew Fairless on February 15, 2021January 18, 2021

https://blog.exxactcorp.com/compute-goes-brrr-revisiting-suttons-bitter-lesson-artificial-intelligence/ Deep LearningCompute Goes Brrr: Revisiting Sutton’s Bitter Lesson for Artificial IntelligenceMarketing, October 27, 2020 “The main driver of AI progress, according to Sutton, is the increasing availability of computeContinue readingWhat I Read: Revisiting Sutton’s Bitter Lesson for AI

What I Read: The way we train AI is flawed

By Andrew Fairless on February 15, 2021January 18, 2021

https://www.technologyreview.com/2020/11/18/1012234/training-machine-learning-broken-real-world-heath-nlp-computer-vision/ The way we train AI is fundamentally flawedThe process used to build most of the machine-learning models we use today can’t tell if they will work in the realContinue readingWhat I Read: The way we train AI is flawed

What I Read: How DAGs grow

By Andrew Fairless on February 14, 2021January 18, 2021

https://greatexpectations.io/blog/deeper-wider-thicker/ How DAGs grow: Deeper, wider, and thickerNovember 16, 2020 “Over time, this turns into a steady, compounding creep in the maintenance time that you’re putting into the project…. StuffContinue readingWhat I Read: How DAGs grow

What I Read: long-term symptoms of Covid-19

By Andrew Fairless on February 14, 2021January 18, 2021

https://www.vox.com/22166236/long-term-side-effects-covid-19-symptoms-heart-fatigue The many strange long-term symptoms of Covid-19, explainedby Lois ParshleyDecember 15 2020 9:27 PM “…preliminary research suggests that somewhere between 10 percent and 88 percent of Covid-19 patients willContinue readingWhat I Read: long-term symptoms of Covid-19

Month: February 2021