software engineering – Page 6 – Andrew Fairless, Ph.D.

What I Read: Functional, Object Oriented Programming

By Andrew Fairless on May 1, 2023March 30, 2023

Functional Programming IS NO BETTER Object Oriented ProgrammingContinuous Delivery “Which of these software paradigms will offer you the best chance of success in which instances?”

What I Read: Infrastructure

By Andrew Fairless on April 12, 2023March 30, 2023

https://www.kleinerperkins.com/perspectives/infrastructure-in-23/ Infrastructure in ’23Kleiner PerkinsWednesday, February 22nd 2023 “I set aside some time at the beginning of the year to share what I believe to be the most dynamic andContinue readingWhat I Read: Infrastructure

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

Tag: software engineering