A Visual Exploration of Gaussian Processes
Even if you have spent some time reading about machine learning, chances are that you…
A Deep Dive into Calibration of Language Models: Platt Scaling, Isotonic Regression, Temperature Scaling
 # Introduction  A model that says it is 90% confident should be right 90% of…
Picking an Experimentation Platform: A Retrospective
, in every company that wants to ship products people love, when “we should experiment…
Open Questions about Generative Adversarial Networks
By some metrics, research on Generative Adversarial Networks (GANs) has progressed substantially in the past…
What the Agentic Era Means for Data Science
 # Introduction  Something has shifted at the intersection of AI and data science, and it's…
I Spent May Evaluating Different Engines for OCR
were supposed to be read by a machine. Old hotel invoices, bank statements, payslips, loan…
A Discussion of ‘Adversarial Examples Are Not Bugs, They Are Features’
On May 6th, Andrew Ilyas and colleagues published a paper outlining two sets of experiments.…
Mocking a Year of IoT Sensor Time Series Data with Mimesis
 # Introduction  Mocking Internet of Things (IoT) sensor data that would be otherwise difficult to…
Solving a Murder Mystery Using Bayesian Inference
I remember watching the Hollywood mystery thriller Knives Out, leaning towards the screen, as if…