Start typing to search articles
89 articles · Page 1 of 8
The difference between a successful platform and a ghost town often comes down to one algorithm: the recommendation system. Netflix estimates its recommendat...
Choosing a cloud provider for machine learning is often less about "which is best" and more about "which architecture fits my team's philosophy?" You aren't ...
Imagine building a car. You wouldn't want to design the engine in a shed, paint the chassis in a basement across town, and assemble the wheels in a rented ga...
You have built a model that performs beautifully on your local machine. It predicts customer churn with high accuracy, and the Jupyter notebook is a work of ...
Here is the brutal truth about machine learning: building a model in a Jupyter Notebook is the easy part. The real nightmare begins when you try to move that...
It is a well-known statistical trope that ice cream sales correlate with shark attacks. Does this mean banning Rocky Road would save swimmers? Of course not....
Imagine you are a doctor running a clinical trial. You know if a patient recovered, but that’s only half the story. Did they recover in 3 days or 3 months?
You’ve carefully collected your data, cleaned it, and you're ready to run a standard t-test or ANOVA. But then you check the histogram. Instead of a beautifu...
Most data science courses start with a lie. They teach you that probability is simply the "long-run frequency" of an event—if you flip a coin infinite times,...
Imagine running a clinical trial for a new cancer drug. You spend millions of dollars and months recruiting patients. The results come back: "Not statistical...
Imagine you are running a clinical trial for a new heart medication. You have four groups of patients: one taking a low dose, one taking a medium dose, one t...
You can calculate the average height of a basketball team. You can find the standard deviation of stock prices. But what do you do when your data isn't numer...
