Every child has learned of the usual scientific method: the variable you change is the independent variable, and the variable that changes as a result is the dependent variable. To ensure causation of the dependent, only one independent variable can be changed at a time while many other things must be kept constant between trials.… Continue reading Good Metrics & Bad Targets: A Summary on Goodhart’s Law
It's fine to celebrate success, but it is more important to heed the lessons of failure. -Bill Gates A Preface: To be blunt, I have failed. More accurately, my models have failed (by ironically being not accurate, all pun intended). Despite weeks of work, I have failed to provide anything conclusive about the objective… Continue reading Evaluating Hospital Effectiveness: The First of Many Failures
As I'm approaching the end of my data science journey, I still find it extremely hard to explain to parents , colleagues, and friends (outside the tech field) exactly what I'll be aiming to do as a data scientist, and quite frankly, I still have a hard time pinpointing it myself. Through my studies, I've… Continue reading Data, Do You Mined?
One of the most promising application for deep learning image classification is within the medical field. While imaging technology has allowed doctors to "see" more than ever with a plethora of tests, the diagnosis is still the responsibility of the provider. For example, something simple like an x-ray can reveal many illness about a patient,… Continue reading Classifying Different Types of Pneumonia with Deep Learning
In about a week, my wife will be entering her first year of teaching in public education, while I anticipate entering my last. Throughout the process, I've done my best to prepare her mentally for all the challenges and hurdles of being an educator without (hopefully) dispiriting her too much. Yet, one of her questions… Continue reading The Gluttony of Educational Consumerism