ASSUMPTIONS MATTER: IGNORING THEM CAN INVALIDATE YOUR FINDINGS
Earlier this week, I attended an amazing talk at PyConDE / PyData 2023 on data engineering.
THE COVID-19 LAB LEAK THEORY IS A TEXTBOOK EXAMPLE OF CONFOUNDING
Ever since the start of the Covid-19 pandemic, there has been widespread speculation on the origins of the virus.
SOME RESOURCES TO LEARN ABOUT PHARMA AND BIOTECH
A year ago, I got the opportunity to work as an intern at a large pharmaceutical company.
DEATH BY A THOUSAND CUTS: THE FUTURE OF MACHINE LEARNING PROGRAMMING
In the world of statistics and machine learning, there are many different opinions on what the future holds for scientific programming – specifically, Python, R and Julia.
BOOK REVIEW: HIDDEN TRUTHS BY DAVID FUBINI
For those of us who are not in business consulting, it is sometimes hard to truly understand what sets apart top strategy firms like McKinsey, BCG or Bain.
MEMBERSHIP TESTS IN JULIA, R AND PYTHON
Membership tests – checking whether an element is in a collection – is a common operation in statistical programming.
THE PROBLEM WITH INTERPRETING BIASED COEFFICIENTS
One of the first things people learn about regression analysis is how to interpret coefficients and it is seemingly easy.
5 BOOK RECOMMENDATIONS FROM THE SUMMER OF CORONA
Summer is almost over, so I thought I would share some books I have learned something from during the last couple of months.