continuous integration – Andrew Fairless, Ph.D.

What I Read: Optimizing Machine Learning Training Pipelines

By Andrew Fairless on March 15, 2023February 4, 2023

https://medium.com/ntropy-network/bag-of-tricks-for-optimizing-machine-learning-training-pipelines-4f8d5cd3d432 Bag of tricks for optimizing machine learning training pipelinesArseny KravchenkoJan 5 “…we are constantly looking for ways to improve the efficiency of our machine learning pipelines, while keeping theContinue readingWhat I Read: Optimizing Machine Learning Training Pipelines

What I Read: Testing Firefox, machine learning

By Andrew Fairless on September 29, 2022August 22, 2022

https://hacks.mozilla.org/2020/07/testing-firefox-more-efficiently-with-machine-learning/ Testing Firefox more efficiently with machine learningBy Andrew Halberstadt, Marco CastelluccioPosted on July 9, 2020 “Even with all of these optimizations our CI still runs around 10 compute yearsContinue readingWhat I Read: Testing Firefox, machine learning

What I Read: MLOps Documentation

By Andrew Fairless on February 2, 2022January 20, 2022

https://www.kdnuggets.com/2021/12/best-practices-mlops-docs.html Best Practices for MLOps DocumentationBy Nifesimi Ademoye “Why does technical documentation matter in MLOps?…. MLOps levels are defined by the extent of automation of processes in an ML pipeline,Continue readingWhat I Read: MLOps Documentation

What I Read: The Uselessness of Useful Knowledge

By Andrew Fairless on November 2, 2021October 24, 2021

https://www.quantamagazine.org/science-has-entered-a-new-era-of-alchemy-good-20211020/ The Uselessness of Useful KnowledgeRobbert DijkgraafOctober 20, 2021Today’s powerful but little-understood artificial intelligence breakthroughs echo past examples of unexpected scientific progress.“…the current state of AI research is nothing newContinue readingWhat I Read: The Uselessness of Useful Knowledge

What I Read: What is a Data Mesh?

By Andrew Fairless on July 6, 2021June 22, 2021

https://cnr.sh/essays/what-the-heck-data-mesh What the Heck is a Data Mesh?!Chris Riccomini on June 8, 2021 “Yet, organizations don’t think of data as a product…. It would be madness to propose centralizing allContinue readingWhat I Read: What is a Data Mesh?

What I Watch: Continuous Integration vs Feature Branch Workflow

By Andrew Fairless on June 1, 2021May 14, 2021

https://youtu.be/v4Ijkq6Myfc Continuous Integration vs Feature Branch WorkflowJan 6, 2021Continuous Delivery “Continuous Integration and Feature Branching are both very popular ways of organising work in a development team, but they areContinue readingWhat I Watch: Continuous Integration vs Feature Branch Workflow

What I Read: MLOps for effective AI strategy

By Andrew Fairless on March 14, 2021March 7, 2021

https://www.sigmoid.com/blogs/mlops-for-effective-ai-strategy/ SigmoidHow to use MLOps for an effective AI strategy “One of the foremost challenges in implementing MLOps is the difficulty in superimposing DevOps practices on ML pipelines. This isContinue readingWhat I Read: MLOps for effective AI strategy

What I Read: How Build Production Workflow SQL

By Andrew Fairless on February 22, 2021January 27, 2021

https://shopify.engineering/build-production-grade-workflow-sql-modelling How to Build a Production Grade Workflow with SQL Modellingby Michelle Ark Data Science & EngineeringNov 19, 2020 “We’ll show you how we moved to a SQL modelling workflowContinue readingWhat I Read: How Build Production Workflow SQL

What I Read: Why is dbt important?

By Andrew Fairless on February 12, 2021January 14, 2021

https://stephen.sh/posts/why-is-dbt-so-important Why is dbt so important? “Last summer, we migrated Monzo’s entire analytics infrastructure to dbt from a homegrown solution. This took significant effort, but I’m glad we did it.Continue readingWhat I Read: Why is dbt important?

Tag: continuous integration