data science – Andrew Fairless, Ph.D.

What I Read: Don’t put notebooks into production

By Andrew Fairless on June 27, 2024April 23, 2024

https://martinfowler.com/articles/productize-data-sci-notebooks.html Don’t put data science notebooks into productionDavid Johnston18 November 2020 “…the discussion of how to productionize data science notebooks is missing the point. The goal should be to empowerContinue readingWhat I Read: Don’t put notebooks into production

What I Read: Navigating Data Tensions

By Andrew Fairless on February 28, 2024January 25, 2024

https://dataanalysis.substack.com/p/special-edition-analytics-as-applied Special Edition: Navigating Data Tensions and the Future of Analytics | Lauren BalikOlga Berezovsky and Lauren BalikJan 8, 2024 “…it is now more expensive to acquire new customers, andContinue readingWhat I Read: Navigating Data Tensions

What I Read: Why Most Data Projects Fail

By Andrew Fairless on August 2, 2023June 15, 2023

Why Most Data Projects Fail & How to Avoid It • Jesse Anderson • GOTO 2023GOTO ConferencesJun 14, 2023 “This talk will explore the most common reasons data projects failContinue readingWhat I Read: Why Most Data Projects Fail

What I Read: Data Product vs. Service

By Andrew Fairless on April 5, 2023February 22, 2023

https://readtechnically.medium.com/data-as-a-product-vs-data-as-a-service-d9f7e622dc55 Data as a Product vs. Data as a ServiceJustin GageJul 14, 2019 “For hiring in particular, DaaP and DaaS require completely different plans and head counts. It’s extremely rareContinue readingWhat I Read: Data Product vs. Service

What I Read: Is Data Scientist Still the Sexiest Job?

By Andrew Fairless on September 5, 2022August 3, 2022

https://hbr.org/2022/07/is-data-scientist-still-the-sexiest-job-of-the-21st-century Is Data Scientist Still the Sexiest Job of the 21st Century?Thomas H. Davenport and DJ PatilJuly 15, 2022 “Ten years ago we published the article “Data Scientist: Sexiest JobContinue readingWhat I Read: Is Data Scientist Still the Sexiest Job?

What I Read: Ways I Use Testing as a Data Scientist

By Andrew Fairless on February 15, 2022January 20, 2022

https://www.peterbaumgartner.com/blog/testing-for-data-science/ Ways I Use Testing as a Data ScientistPeter BaumgartnerDecember 22, 2021 “As a data scientist, I wear many different hats, which also made learning about testing difficult. There’s plentyContinue readingWhat I Read: Ways I Use Testing as a Data Scientist

What I Read: Lessons on ML Platforms

By Andrew Fairless on December 20, 2021November 16, 2021

https://towardsdatascience.com/lessons-on-ml-platforms-from-netflix-doordash-spotify-and-more-f455400115c7 Lessons on ML Platforms — from Netflix, DoorDash, Spotify, and moreErnest ChanMay 12 “Many companies who do ML well have invested in ML platforms to enable data scientists toContinue readingWhat I Read: Lessons on ML Platforms

What I Read: The dysfunctions of Data Engineering

By Andrew Fairless on September 9, 2021August 20, 2021

https://medium.com/@mrtrustworthy/from-data-driven-to-driving-data-the-dysfunctions-of-data-engineering-34c34496ed8e From Data Driven to Driving Data— The dysfunctions of Data EngineeringMrTrustworthyJul 27 “Being Data Driven isn’t enough…. We need Data Engineering… as a methodical approach at re-designing how aContinue readingWhat I Read: The dysfunctions of Data Engineering

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

Tag: data science