The MBTI is one of the most unsupported but yet the most used tools in the corporate sector.
Category Archives: Work/Life
Bluff the bots — a glossary of key terms in Machine Learning
The fifth and final part of the series on Machine Learning for beginners.
Trash or treasure — how to tell if a classification algorithm is any good
In this installment of the series, we review some common measures and considerations when assessing the effectiveness and value of a classification algorithm.
Korea’s tanking fertility rate — what does it mean?
This year, South Korea’s fertility rate is expected to drop below 1.00.
Decision makers need more math
Decision makers in the year 2020 will be facing many more data driven documents and charts than they did 10 or 20 years prior. But are those decision makers any better equipped to make accurate decisions in such a data rich environment?
The greatest analogies of modern times
I strongly believe that the field of data science could benefit greatly from a more frequent use of analogies in communication of key concepts.
A lay-person’s guide to the algorithm jungle
This is the third in a series of articles intended to make Machine Learning more approachable to those without technical training.
Five tips for interviewers and interviewees
here are my top five tips for both interviewers and interviewees. Some might sound obvious, but read a little deeper and it might make you think.
What would the London Tube Map look like if Data Scientists designed it?
The London Tube Map is a seminal piece of design. Anyone who has looked at it remembers what it looks like.
Analyzing Facebook posts and activity using Topic Modelling and other NLP methods
In April, I permanently deleted my Facebook presence. I joined in 2008 and was fairly active over the years. In the process of deleting my account, I downloaded all my data.