#mechanism
12 posts
- How to Work and Compound with AI
Context as infra, taste as config, verify for autonomy, scale via delegation, close the loop.
- How to Run a Weekly Paper Club (and Build a Learning Community)
Benefits of running a weekly paper club, how to start one, and how to read and facilitate papers.
- How to Write Data Labeling/Annotation Guidelines
Writing good instructions to achieve high precision and throughput.
- Mechanisms for Effective Technical Teams
End of week debrief, weekly business review, monthly learning sessions, and quarter review.
- Mechanisms for Effective Machine Learning Projects
Pilot & copilot, literature review, methodology review, and timeboxing.
- Why You Should Write Weekly 15-5s
15 minutes a week to document your work, increase visibility, and earn trust.
- What I Wish I Knew About Onboarding Effectively
Mindset, 100-day plan, and balancing learning and taking action to earn trust.
- Why You Need to Follow Up After Your Data Science Project
Ever revisit a project & replicate the results the first time round? Me neither. Thus I adopted these habits.
- What I Do During A Data Science Project To Deliver Success
It's not enough to have a good strategy and plan. Execution is just as important.
- What I Do Before a Data Science Project to Ensure Success
Haste makes waste. Diving into a data science problem may not be the fastest route to getting it done.
- What I Love about Scrum for Data Science
Initially, I didn't like it. But over time, it grew on me. Here's why.
- Data Science and Agile (Frameworks for Effectiveness)
Taking the best from agile and modifying it to fit the data science process (Part 2 of 2).