data science – Page 2 – Andrew Fairless, Ph.D.

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

What I Read: The one data platform to rule them all

By Andrew Fairless on August 26, 2021August 17, 2021

https://leighmariebraswell.substack.com/p/the-one-data-platform-to-rule-them The one data platform to rule them all… but according to whom?An overview of recent data startups based on popular end usersLeigh Marie BraswellJul 20 “…seeing so many “dataContinue readingWhat I Read: The one data platform to rule them all

What I Read: I Like Notebooks

By Andrew Fairless on August 17, 2021July 22, 2021

https://youtu.be/9Q6sLbz37gk I Like NotebooksOct 28, 2020Jeremy Howard “I like using Jupyter Notebooks… Particularly when combined with nbdev… In this video, I explain why, and explain why I have a differentContinue readingWhat I Read: I Like Notebooks

What I Read: Building Data Platform

By Andrew Fairless on August 12, 2021July 22, 2021

https://www.montecarlodata.com/the-quick-and-dirty-guide-to-building-your-data-platform/ Updated July 9, 2021The Quick and Dirty Guide to Building Your Data PlatformBarr Moses, Lior Gavish“For most organizations, building a data platform is no longer a nice-to-have but aContinue readingWhat I Read: Building Data Platform

Tag: data science