About 2 months ago, I started migrating my entire personal stack onto Kubernetes from regular virtual servers. So what has happened in the meantime? Have I freed up more operation maintenance time to do more interesting data science development work yet? Unfortunately the answer is no, at least for now. It turns out that migrating… Continue reading Onto Kubernetes – Part 2
Tag: MLOps
Technical Debt vs. Mortgage: A Data Science Homeowner’s Guide
(I used chatGPT to help me make the written content more “engaging” and “LinkedIn-like”, so keeping the 2 versions below for comparison purpose.) [ChatGPT rewritten version] Building a minimal viable product (MVP) in data science is like buying your first home with the maximum mortgage. It’s often necessary to move quickly and show business value… Continue reading Technical Debt vs. Mortgage: A Data Science Homeowner’s Guide
Short review of Designing Machine Learning System
I have finally finished “Designing Machine Learning Systems” after a few weekends of focus reading. It is one of the rare technical books that I finished in its entirety, and I thoroughly enjoyed it. Just to offer a quick book review below. The book is amazing in the following aspects: ✅Provides a high-level overview of… Continue reading Short review of Designing Machine Learning System
ML system design – problem definition & consulting
I recently started reading the excellent book called Designing Machine Learning Systems by Chip Huyen. In the first few chapters, the book illustrated very clearly the differing stakeholder expectations of an ML system, by using a restaurant recommendation app as an example. Data scientists / ML engineers ➡️ Want a model that recommends the best… Continue reading ML system design – problem definition & consulting