Mathematics. Machine Learning. Data Science.
The Parents' Paradox: AI, Ethics, and the Limits of Machine Morality This post is based on a talk I gave at The AI Automation Conference in London on February 25, 2026, and my slides. All opinions are my own and don't represent the views of my employer or any affiliated organizations. I've been working in machine learning since before it was a dinner party conversation. My background is in…
Imagine you are working at a major investment bank like J.P. Morgan or Goldman Sachs, or maybe at a hedge Continue reading
Support Vector Machine is a supervised learning type of algorithm and its goal is to find the optimal hyperplane which Continue reading
Regression models are most studied and best understood models in statistics. Regression and correlation are closely related and were invented Continue reading
Introduction More data has been created in the last two years than in the entire history of human race and Continue reading
In the previous post I have been talking about multiple linear regression, preparing the data and model predictions. Now we Continue reading
Problem description We have CSV file containing information about 50 companies. Your job as a data scientist is to help venture Continue reading
This is the third part in a series of Lax Pair and Nonlinear Schrödinger (NLS) Equation (view the previous post Continue reading
The idea behind Lax Representation (Lax Pair) is that the nonlinear PDE can be expressed as a compatibility condition of Continue reading
Operator L has continuous and discrete spectrum in general so we can separate solutions into two groups: Solutions parametrized by data Continue reading