NEWSLETTER
When Physics Meets Finance: Using AI to Solve Black-Scholes
DISCLAIMER: This is not financial advice. I’m a PhD in Aerospace Engineering with a strong focus on Machine Learning: I’m ...
Tag: machine learning
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 ...
Why CatBoost Works So Well: The Engineering Behind the Magic
is a cornerstone technique for modeling tabular data due to its speed and simplicity. It delivers great results without any ...
The Invisible Revolution: How Vectors Are (Re)defining Business Success
more on data, business leaders must understand vector thinking. At first, vectors may appear as complicated as algebra was in ...
Ivory Tower Notes: The Problem | Towards Data Science
months on a Machine Learning project, only to discover you never defined the “correct” problem at the start? If so, ...
Mining Rules from Data | Towards Data Science
with products, we might face a need to introduce some “rules”. Let me explain what I mean by “rules” in ...
A Little More Conversation, A Little Less Action — A Case Against Premature Data Integration
I talk to (large) organisations that have not yet properly started with Data Science (DS) and Machine Learning (ML), they ...
The Art of Hybrid Architectures
In my previous article, I discussed how morphological feature extractors mimic the way biological experts visually assess images. time, I ...
Least Squares: Where Convenience Meets Optimality
0. Least Squares is used almost everywhere when it comes to numerical optimization and regression tasks in machine learning. It ...
Evolving Product Operating Models in the Age of AI
previous article on organizing for ai (<a target="_blank" href="https://medium.com/data-science/organizing-for-ai-b8d6094b6d03">link), we looked at how the interplay between three key dimensions — ...
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