Estimating Product-Level Price Elasticities Using Hierarchical Bayesian
In this article, I will introduce you to hierarchical Bayesian (HB) modelling, a flexible approach to automatically combine the results ...
Read more
What Statistics Can Tell Us About NBA Coaches
as an NBA coach? How long does a typical coach last? And does their coaching background play any part in ...
Read more
Use PyTorch to Easily Access Your GPU
are lucky enough to have access to a system with an Nvidia Graphical Processing Unit (Gpu). Did you know there ...
Read more
How to Learn the Math Needed for Machine Learning
can be a scary topic for people. Many of you want to work in machine learning, but the maths skills ...
Read more
Understanding Random Forest using Python (scikit-learn)
trees are a popular supervised learning algorithm with benefits that include being able to be used for both regression and ...
Read more
Survival Analysis When No One Dies: A Value-Based Approach
is a statistical approach used to answer the question: “How long will something last?” That “something” could range from a ...
Read more
Google’s New AI System Outperforms Physicians in Complex Diagnoses
going to the doctor with a baffling set of symptoms. Getting the right diagnosis quickly is crucial, but sometimes even ...
Read more
Automate Supply Chain Analytics Workflows with AI Agents using n8n
Why build things the hard way when you can design them the smart way? As a Supply Chain Data Scientist, ...
Read more
The Ultimate AI/ML Roadmap For Beginners
AI is transforming the way businesses operate, and nearly every company is exploring how to leverage this technology. As a ...
Read more
Evolving Product Operating Models in the Age of AI
previous article on organizing for AI (link), we looked at how the interplay between three key dimensions — ownership of ...
Read more
