Tag:
engineering
(25)
SearchMore Design Patterns For Machine Learning Systems
9 patterns including HITL, hard mining, reframing, cascade, data flywheel, business rules layer, and more.
23 Apr 2023 · 20 min · machinelearning engineering production recsys
RecSys 2022: Recap, Favorite Papers, and Lessons
My three favorite papers, 17 paper summaries, and ML and non-ML lessons.
02 Oct 2022 · 14 min · recsys engineering production
RecSys 2022 Keynote - Is the Juice Worth the Squeeze?
Invited keynote at the Workshop for Online Recommender Systems and User Modeling (ORSUM)
23 Sep 2022 · 2 min · recsys engineering production
Writing Robust Tests for Data & Machine Learning Pipelines
Or why I should write fewer integration tests.
04 Sep 2022 · 19 min · engineering machinelearning production ❤️
Simplicity is An Advantage but Sadly Complexity Sells Better
Pushing back on the cult of complexity.
14 Aug 2022 · 7 min · machinelearning engineering production 🔥
Uncommon Uses of Python in Commonly Used Libraries
Some off-the-beaten uses of Python learned from reading libraries.
31 Jul 2022 · 10 min · python engineering 🔥
Design Patterns in Machine Learning Code and Systems
Understanding and spotting patterns to use code and components as intended.
12 Jun 2022 · 13 min · machinelearning engineering python 🔥
Traversing High-Level Intent and Low-Level Requirements
How they differ and why they work better in different situations.
20 Mar 2022 · 7 min · engineering datascience misc
Data Science Project Quick-Start
Hard-won lessons on how to start data science projects effectively.
06 Mar 2022 · 7 min · datascience engineering productivity
System Design for Recommendations and Search
Breaking it into offline vs. online environments, and candidate retrieval vs. ranking steps.
27 Jun 2021 · 13 min · teardown production engineering recsys 🔥
How to Write Design Docs for Machine Learning Systems
Pointers to think through your methodology and implementation, and the review process.
07 Mar 2021 · 15 min · writing machinelearning engineering
How to Write Better with The Why, What, How Framework
Three documents I write (one-pager, design doc, after-action review) and how I structure them.
28 Feb 2021 · 10 min · writing engineering productivity ❤️
Feature Stores: A Hierarchy of Needs
Access, serving, integrity, convenience, autopilot; use what you need.
21 Feb 2021 · 19 min · teardown machinelearning engineering 🔥
How to Win a Data Hackathon (Hacklytics 2021)
What the top teams did to win the 36-hour data hackathon. No, not machine learning.
14 Feb 2021 · 6 min · datascience engineering misc
Data Discovery Platforms and Their Open Source Solutions
What questions do they answer? How do they compare? What open-source solutions are available?
25 Oct 2020 · 16 min · teardown datascience engineering 🔥
How to Test Machine Learning Code and Systems
Checking for correct implementation, expected learned behaviour, and satisfactory performance.
06 Sep 2020 · 14 min · machinelearning engineering python
Adding a Checkbox & Download Button to a FastAPI-HTML app
Updating our FastAPI app to let users select options and download results.
05 Aug 2020 · 3 min · engineering python til
How to Set Up a HTML App with FastAPI, Jinja, Forms & Templates
I couldn't find any guides on serving HTML with FastAPI, thus I wrote this to plug the hole on the internet.
23 Jul 2020 · 3 min · engineering python til 🔥
How to Update a GitHub Profile README Automatically
I wanted to add my recent writing to my GitHub Profile README but was too lazy to do manual updates.
11 Jul 2020 · 3 min · engineering python til
How to Set Up a Python Project For Automation and Collaboration
After this article, we'll have a workflow of tests and checks that run automatically with each git push.
21 Jun 2020 · 20 min · engineering production python productivity 🔥
Why Are My Airflow Jobs Running “One Day Late”?
A curious discussion made me realize my expert blind spot. And no, Airflow is not late.
17 Jun 2020 · 3 min · datascience engineering production til
A Practical Guide to Maintaining Machine Learning in Production
Can maintaining machine learning in production be easier? I go through some practical tips.
25 May 2020 · 16 min · machinelearning engineering production
6 Little-Known Challenges After Deploying Machine Learning
I thought deploying machine learning was hard. Then I had to maintain multiple systems in prod.
18 May 2020 · 14 min · machinelearning engineering production
OMSCS CS6200 (Introduction to OS) Review and Tips
OMSCS CS6200 (Introduction to OS) - Moving data from one process to another, multi-threaded.
15 Dec 2019 · 7 min · omscs learning engineering
OMSCS CS6300 (Software Development Process) Review and Tips
OMSCS CS6300 (Software Development Process) - Java and collaboratively developing an Android app.
13 Aug 2017 · 5 min · omscs learning engineering
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