Andrew Fairless – Page 32 – Andrew Fairless, Ph.D.

What I Read: Data Pipeline Design Patterns

By Andrew Fairless on March 8, 2023January 9, 2023

https://www.startdataengineering.com/post/design-patterns/ Data Pipeline Design Patterns – #1. Data flow patternsStart Data EngineeringDec 11, 2022 “This post will cover the typical data flow design patterns. We will learn about the prosContinue readingWhat I Read: Data Pipeline Design Patterns

What I Read: Modern AI Art

By Andrew Fairless on March 6, 2023January 9, 2023

https://www.quantamagazine.org/the-physics-principle-that-inspired-modern-ai-art-20230105/ The Physics Principle That Inspired Modern AI ArtAnil AnanthaswamyJanuary 5, 2023 “Diffusion models generate incredible images by learning to reverse the process that, among other things, causes ink toContinue readingWhat I Read: Modern AI Art

What I Read: Shapley Values

By Andrew Fairless on March 2, 2023January 9, 2023

https://www.aidancooper.co.uk/how-shapley-values-work/ How Shapley Values WorkAidan CooperDec 31, 2022 “Shapley values… are machine learning explainability techniques…. we will explore how Shapley values work – not using cryptic formulae, but by wayContinue readingWhat I Read: Shapley Values

What I Read: Build vs. Buy, Modern Data Stack

By Andrew Fairless on March 1, 2023January 9, 2023

The Build vs. Buy Guide for the Modern Data Stack The Build vs. Buy Guide for the Modern Data StackNishith AgarwalUpdated December 22, 2022 “There’s been an explosion of solutionsContinue readingWhat I Read: Build vs. Buy, Modern Data Stack

What I Read: Realtime User Actions in Recommendation

By Andrew Fairless on February 27, 2023January 9, 2023

https://medium.com/pinterest-engineering/how-pinterest-leverages-realtime-user-actions-in-recommendation-to-boost-homefeed-engagement-volume-165ae2e8cde8 How Pinterest Leverages Realtime User Actions in Recommendation to Boost Homefeed Engagement VolumeXue Xia, Software Engineer, Homefeed Ranking; Neng Gu, Software Engineer, Content & User Understanding; Dhruvil Deven Badani,Continue readingWhat I Read: Realtime User Actions in Recommendation

What I Read: Building “Copilot for X”

By Andrew Fairless on February 23, 2023January 9, 2023

https://lspace.swyx.io/p/what-building-copilot-for-x-really What Building “Copilot for X” Really TakesA “Copilot for X” guide from the team that built the first real Copilot competitor!swyx and Anshul RamachandranDec 19 ““Copilot for X” refersContinue readingWhat I Read: Building “Copilot for X”

What I Read: AI, Human Values

By Andrew Fairless on February 22, 2023December 16, 2022

https://www.quantamagazine.org/what-does-it-mean-to-align-ai-with-human-values-20221213/ What Does It Mean to Align AI With Human Values?Melanie MitchellDecember 13, 2022 “Making sure our machines understand the intent behind our instructions is an important problem that requiresContinue readingWhat I Read: AI, Human Values

What I Read: Offline RL, Large Language Models

By Andrew Fairless on February 21, 2023December 16, 2022

https://sergeylevine.substack.com/p/offline-rl-and-large-language-models Offline RL and Large Language ModelsSergey LevineDec 4 “What if the purpose of a language model should not be to generate text at all, at least not directly? …Continue readingWhat I Read: Offline RL, Large Language Models

What I Read: Data Engineering 2023 Predictions

By Andrew Fairless on February 20, 2023December 16, 2022

https://www.montecarlodata.com/blog-13-data-engineering-trends-for-2023/ What’s Next for Data Engineering in 2023? 13 PredictionsBarr MosesCEO and Co-founder, Monte Carlo. Proponent of data reliability and action movies.Updated November 29, 2022 “…let’s dive into Tomasz’s predictionsContinue readingWhat I Read: Data Engineering 2023 Predictions

What I Read: Realtime ML

By Andrew Fairless on February 16, 2023December 16, 2022

https://fennel.ai/blog/seven-reasons-why-realtime-ml-is/ Seven Reasons Why Realtime ML Is Here To StayNikhil GargJune 17, 2022 “…more and more top tech companies are making a larger part of their machine learning as realtimeContinue readingWhat I Read: Realtime ML

Author: Andrew Fairless