Career Coaching for Data Professionals
Building trustworthy data pipelines because AI cannot learn from dirty data
Programmer diary — programmer productivity experiment #1
One of the most intriguing ideas described in the book "How Google works" is writing "snippets."
09 Nov 2018
Smart creative — the new role model
It may look like a unicorn, but it is real
07 Nov 2018
"The Box: How the Shipping Container Made the World Smaller and the World Economy Bigger" by Marc Levinson
What happens when one invention makes the whole industry obsolete?
05 Nov 2018
How to visualise prediction errors
How to explain the errors of a linear regression model
02 Nov 2018
User story mapping for developers
A natural way of splitting work into small, but useful parts
29 Oct 2018
Is programming art or science?
On a quest to find the right metaphor
24 Oct 2018
Test-driven development in Jupyter Notebook
TDD for data scientists working with Jupyter Notebook
22 Oct 2018
Machine learning cheat sheets
A collection of machine learning cheat sheets I find useful and google repeatedly.
19 Oct 2018
Does a tester break the product?
How does a name influence our attitude?
17 Oct 2018
Dealing with dates and time in Pandas
How to use Pandas to parse dates or calculate time in a different timezone.
15 Oct 2018
Fill missing values using Random Forest
How to predict the missing values using Scikit-Learn
12 Oct 2018
The one important thing I learned from "Beyond Developer" by Dan North
How to motivate software engineers?
10 Oct 2018