modularity – Andrew Fairless, Ph.D.

What I Read: Building agents

By Andrew Fairless on April 9, 2025December 31, 2024

https://www.anthropic.com/research/building-effective-agents Building effective agentsErik Schluntz and Barry ZhangDec 19, 2024 “Over the past year, we’ve worked with dozens of teams building large language model (LLM) agents across industries. Consistently, theContinue readingWhat I Read: Building agents

What I Read: Neural algorithmic reasoning

By Andrew Fairless on January 9, 2024November 7, 2023

https://thegradient.pub/neural-algorithmic-reasoning/ Neural algorithmic reasoningPetar Veličković14.Oct.2023 “…we will talk about classical computation… Think shortest path-finding, sorting, clever ways to break problems down… we will also investigate how to capture such computationContinue readingWhat I Read: Neural algorithmic reasoning

What I Read: Composable Data Systems

By Andrew Fairless on October 19, 2023September 9, 2023

https://wesmckinney.com/blog/looking-back-15-years/ The Road to Composable Data Systems: Thoughts on the Last 15 Years and the FutureWes McKinneySeptember 1, 2023 “Julien Le Dem… coined the term “deconstructed database” to describe theContinue readingWhat I Read: Composable Data Systems

What I Read: Against LLM

By Andrew Fairless on June 29, 2023May 31, 2023

https://explosion.ai/blog/against-llm-maximalism Against LLM maximalismby Matthew HonnibalMay 18, 2023 “However, LLMs are not a direct solution to most of the NLP use-cases companies have been working on… if you want toContinue readingWhat I Read: Against LLM

What I Read: Multi-task Prediction of Organ Dysfunction

By Andrew Fairless on August 25, 2021August 17, 2021

https://ai.googleblog.com/2021/07/multi-task-prediction-of-organ.html Multi-task Prediction of Organ Dysfunction in ICUsThursday, July 22, 2021 “Applying machine learning (ML) to electronic health records (EHRs) has shown promise in predicting clinical outcomes. However, many ofContinue readingWhat I Read: Multi-task Prediction of Organ Dysfunction

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: Object-Oriented Programming Disaster

By Andrew Fairless on April 27, 2021April 10, 2021

https://betterprogramming.pub/object-oriented-programming-the-trillion-dollar-disaster-92a4b666c7c7 Object-Oriented Programming — The Trillion Dollar DisasterWhy it’s time to move on from OOPIlya SuzdalnitskiJul 10, 2019 “Object-Oriented Programming has been created with one goal in mind — toContinue readingWhat I Read: Object-Oriented Programming Disaster

What I Read: Software Engineering Best Practices for Data Scientists

By Andrew Fairless on April 13, 2021April 2, 2021

https://towardsdatascience.com/software-engineering-best-practices-for-data-scientists-4c199ede6e03?gi=f6afc2a55c8a Software Engineering Best Practices for Data ScientistsA crash course on how to bridge the gap between data science and software engineeringMadison HunterMar 12 “…data scientists should be able toContinue readingWhat I Read: Software Engineering Best Practices for Data Scientists

What I Read: Kedro Pipelines with Airflow

By Andrew Fairless on March 30, 2021March 15, 2021

https://medium.com/quantumblack/kedro-airflow-0-4-0-orchestrating-kedro-pipelines-with-airflow-23fb1283f24d Kedro-Airflow 0.4.0 — Orchestrating Kedro Pipelines with AirflowThe Kedro team and Astronomer have released Kedro-Airflow 0.4.0 to help you develop modular, maintainable & reproducible code with orchestration superpowers!QuantumBlack, aContinue readingWhat I Read: Kedro Pipelines with Airflow

What I Read: 15 common coding mistakes data scientist make

By Andrew Fairless on March 28, 2021March 7, 2021

https://towardsdatascience.com/15-common-coding-mistakes-data-scientist-make-in-python-and-how-to-fix-them-7760467498af 15 common coding mistakes data scientist make in Python (and how to fix them)Gerold CsendesDec 1, 2020 “I gradually realized in my data science career that by applying softwareContinue readingWhat I Read: 15 common coding mistakes data scientist make

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