software engineering – Page 5 – Andrew Fairless, Ph.D.

What I learn: How, learn machine learning

By Andrew Fairless on January 18, 2023December 4, 2022

https://vickiboykis.com/2022/11/10/how-i-learn-machine-learning/ How I learn machine learningVicki BoykisNov 10 2022 “My overarching goal as an MLE is to continuously work towards designing and deploying well-designed, and transparent machine learning systems andContinue readingWhat I learn: How, learn machine learning

What I Read: Taxonomy of Tech Debt

By Andrew Fairless on May 3, 2022April 24, 2022

https://technology.riotgames.com/news/taxonomy-tech-debt A Taxonomy of Tech DebtApr 10, 2018 “This post will focus on types of tech debt I’ve seen during my time working at Riot, and a model for discussingContinue readingWhat I Read: Taxonomy of Tech Debt

What I Watch: Engineering For Data

By Andrew Fairless on March 16, 2022January 20, 2022

https://youtu.be/jeMQld-6BtQ What Is Engineering For Data?Jan 5, 2022Continuous Delivery “What are the big mistakes that data scientists and big organisations often make when dealing with big data? What does engineeringContinue readingWhat I Watch: Engineering For Data

What I Read: Real-time machine learning

By Andrew Fairless on March 9, 2022January 20, 2022

https://huyenchip.com//2022/01/02/real-time-machine-learning-challenges-and-solutions.html Real-time machine learning: challenges and solutionsJan 2, 2022 • Chip Huyen “Starting with a batch prediction system, we’ll discuss what’s needed for a simple online prediction system using batchContinue readingWhat I Read: Real-time machine learning

What I Read: Engineering Trade-Offs in Automatic Differentiation

By Andrew Fairless on March 8, 2022January 20, 2022

https://www.stochasticlifestyle.com/engineering-trade-offs-in-automatic-differentiation-from-tensorflow-and-pytorch-to-jax-and-julia/ Engineering Trade-Offs in Automatic Differentiation: from TensorFlow and PyTorch to Jax and JuliaDecember 25 2021Author: Christopher Rackauckas “To understand the differences between automatic differentiation libraries, let’s talk about theContinue readingWhat I Read: Engineering Trade-Offs in Automatic Differentiation

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: Maps of Model Space, Stan

By Andrew Fairless on January 5, 2022December 11, 2021

https://statmodeling.stat.columbia.edu/2021/11/19/drawing-maps-of-model-space-with-modular-stan/ Drawing Maps of Model Space with Modular StanPosted on November 19, 2021 9:50 AM by AndrewThis post is by Ryan Bernstein. “What if instead of describing one model atContinue readingWhat I Read: Maps of Model Space, Stan

What I Read: AntiPatterns, MLOps

By Andrew Fairless on January 4, 2022December 11, 2021

https://arxiv.org/abs/2107.00079 Using AntiPatterns to avoid MLOps MistakesNikhil Muralidhar, Sathappah Muthiah, Patrick Butler, Manish Jain, Yu Yu, Katy Burne, Weipeng Li, David Jones, Prakash Arunachalam, Hays ‘Skip’ McCormick, Naren Ramakrishnan “HereContinue readingWhat I Read: AntiPatterns, MLOps

What I Read: True Stories of Algorithmic Improvement

By Andrew Fairless on December 8, 2021November 16, 2021

https://www.greaterwrong.com/posts/RoyG2GwYAwoka47Ht/true-stories-of-algorithmic-improvement True Stories of Algorithmic Improvementjohnswentworth29 Oct 2021 20:57 UTC “Algorithms beating compute is the sort of thing I expect by default, on a gut level. The point of thisContinue readingWhat I Read: True Stories of Algorithmic Improvement

What I Watch: Streaming Data Systems w/ Eric Sammer (Decodable)

By Andrew Fairless on October 27, 2021October 24, 2021

https://youtu.be/ZGGLtqwJOAw DC_THURS on Streaming Data Systems w/ Eric Sammer (Decodable)Streamed live on Sep 30, 2021Data Council “Eric is an OG data engineer and one of most knowledgeable people on theContinue readingWhat I Watch: Streaming Data Systems w/ Eric Sammer (Decodable)

Tag: software engineering