Sitemap - 2019 - Counting Stuff
Drinks ‘n Data Rant this Saturday
Be Yourself: The Data Scientists You See In Public Are Not Representative
The User-Agent — That Crazy String Underpinning a Bunch of Analytics
Common Data Science Trap— Getting Systems To Agree
Character Encoding, Part 3 of 3 — Gotchas while working with Unicode
Character Encodings — The Pain That Won’t Go Away, Part 2/3: Unicode
Character Encodings —The Pain That Won’t Go Away, Part 1/3: Non-Unicode
Dates, Times, Calendars— The Universal Source of Data Science Trauma
Two Stories About Labeling Data by Hand — It Still Works
Emulators, Machine Translation, Self-service skills
Learning SQL 201: Optimizing Queries, Regardless of Platform
Balancing Who Handles Data Inconsistency
Yeah, getting teams on board w/ experimentation is very tricky.
Not everyone needs real-time analytics, including you
Data Science Practice 101: Always Leave An Analysis Paper Trail
It’s All About Trust: Views on opening up data to your org
Trap DS Projects: Beware of “Easy” Segmentation Projects
It’s OK to use spreadsheets in data science
The First Question I Have For Every Data Request
How I wound up being a Quantitative UX Researcher
Optimization is way out of scope for this rant so… yeah.
Can we stop with the SQL JOINs venn diagrams insanity?
Data Science-ing for Insight — Embrace Your Domain Expert Partners
It’s not a given in a big company that they’ve got their data-driven infra/culture figured out…
Data Science foundations: Know your data. Really, really, know it