Repos: Effective Machine Learning TeamsSupplemental material (code examples, exercises, etc.) is available for download at:Feb 20Feb 20
Effective Machine Learning TeamsChallenges of ML and better paths for ML practitionersMar 19, 2023Mar 19, 2023
Improving dev productivity in ML projects with batectMachine Learning: The Hard Parts (ok fine — A Hard Part)Jun 26, 20211Jun 26, 20211
David’s Personal Reflections on 2020I see reflection as stopping on the side of the road, and reviewing:Dec 30, 2020Dec 30, 2020
Published inTowards Data ScienceHow to refactor a Jupyter notebookImprove your codebase and become more productive with these techniquesMay 4, 20202May 4, 20202
Published inTowards Data ScienceHabits for managing complexity in data science codebasesIf you’ve tried your hand at machine learning or data science, you know that code can get messy, quickly.Nov 5, 2019Nov 5, 2019
What I learned about learning (as a developer)I started my career as a software developer with ThoughtWorks. I joined 6 weeks after I graduated from a coding bootcamp, and over the…Dec 18, 20179Dec 18, 20179
What I learned in 2017 about writing good softwareI started my career as a software developer with ThoughtWorks in 2017. I worked with and learned from some super awesome folks, and I’ve…Dec 18, 2017Dec 18, 2017
#ThisWeekILearned: What the heck are all these AWS acronymsIf you’re like me and have depended on the magic of Heroku to deploy applications, this article is for you. I learnt a few things about AWS…Mar 15, 2017Mar 15, 2017
#TodayILearned: How to generate a tree representation of your projectFor some time now, I’ve been wanting to write a series of short and simple articles documenting the things I’ve learnt. The idea is to…Mar 2, 2017Mar 2, 2017
