Eliott Kalfon
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Berkson’s Paradox: When selection creates correlation
Machine Learning
Computers
You are hiring a team of Data Scientists. Doing so, you look for two critical skills:
May 20, 2025
Eliott Kalfon
The Three Card Problem
Maths
I have three cards:
May 20, 2025
Eliott Kalfon
Do shorter words have longer dictionary definitions?
Language
Data Analysis
Most of the books I read are on my Kindle. One of the features of the Kindle I love is its dictionary feature. I use it frequently when I read books in other languages or in…
May 10, 2025
Eliott Kalfon
What is a derivative? Building a geometric intuition
Maths
The world around us is always changing. Cars drive along the highway, we get older, and temperatures fluctuate. Measuring the rate of change is tricky, as it always requires…
May 6, 2025
Eliott Kalfon
What is a derivative? Building a graphical intuition
Maths
But Eliott, what is a derivative?
May 2, 2025
Eliott Kalfon
Radio waves, blue sky, touch screens: How LLMs can answer questions about the world around us
LLMs
Life
I have always been very curious about the world around me. I like to think that as a kid, one of the reasons I was talking so much is that there were so many things to…
Apr 25, 2025
Eliott Kalfon
A gentle introduction to prediction with Machine Learning
Machine Learning
Computers
How can we generate predictions using Machine Learning? How do basic mathematical tools allow us to make better decisions?
Apr 24, 2025
Eliott Kalfon
Sophie’s World: a masterclass in teaching dry concepts
Books
Teaching
I had heard the title
Sophie’s World
a few times before. When a close friend recommended it to me a few weeks ago, I decided to give it a try.
Apr 23, 2025
Eliott Kalfon
Learning German: From 0 to C1 in 2 years
Life
Three years ago, I made one of the best decisions of my life and moved from London to Berlin. There is one detail that I had not fully considered: German.
Apr 17, 2025
Eliott Kalfon
How to Get a Blog Up from Scratch in 1 Day Using Quarto and Netlify
Blog
Computers
Over the last two years, I avoided publishing my blog for technical reasons. I did not know how to build it, how to host it, etc. The purpose of this post is to show how…
Apr 14, 2025
Eliott Kalfon
Understanding Gini Impurity in Decision Tree Learning
Machine Learning
Computers
While preparing for an introductory course on Machine Learning, I realised that I could not explain what the Gini Impurity criterion was. I understood that it measured how…
Apr 11, 2025
Eliott Kalfon
What if all words were computed equal?
Machine Learning
Life
Computers
Experiences with Data Science interviews made me realise that, to solve problems you do not know the answer to, it helps to start laying out what you already know and…
Apr 1, 2025
Eliott Kalfon
The Beauty of Sharing: More Elegant Solutions
Maths
Computers
Blog
A few months ago, for the first time in my professional life, I shared an article I had written on LinkedIn. Nothing happened.
A few weeks ago, I did it again, and I was…
Mar 30, 2025
Eliott Kalfon
Book Notes: Solving Problems with Sums and Series
Maths
Computers
Books
This is a problem I found reading
Elementary Real Analysis
by M. Bruckner, Thomson and J. Bruckner.
Mar 11, 2025
Eliott Kalfon
Double ML: Bridging the Gap Between Machine Learning and Causal Inference
Machine Learning
Computers
What will the weather be tomorrow? If I lower the price of my beer by 10%, by how much will my sales increase?
Feb 22, 2025
Eliott Kalfon
Saved by Data Structures: Digging into Nearest Neighbours
Machine Learning
Computers
It was 8pm, I was sleep-deprived, and all I could hear was the roar of my Intel Core i5 CPU, without any results in sight. Little did I know that data structures would allow…
Feb 14, 2025
Eliott Kalfon
Adventures with Monte Carlo Estimations
Machine Learning
Computers
What if you could solve tough problems with a list of random numbers? This article will show how Monte Carlo methods can be used to solve problems such as estimating the…
Jan 30, 2025
Eliott Kalfon
Book Notes: Maximum Likelihood hides everywhere
Machine Learning
Computers
Books
As a budding Data Scientist, I long thought that I could avoid the concept of Maximum Likelihood altogether. I kept telling myself that I was just using easy-to-grasp…
Jan 24, 2025
Eliott Kalfon
The Curse of Dimensionality and its impact on Machine Learning
Machine Learning
Computers
Imagine entering an abandoned mansion. The front door leads into a room with 10 more doors. Each door you go through will lead you to a similar room with 10 additional…
Jan 14, 2025
Eliott Kalfon
Transformers: What if time-series forecasting was as easy as predicting my next …
Machine Learning
Computers
What will happen tomorrow? This is a central question of human existence. As children, we slowly learn that we are beings evolving in time. Philosophers like Heidegger argue…
Dec 10, 2024
Eliott Kalfon
Adventures in Android app development using Open AI o1 in 2024
Engineering
Computers
To become a German citizen with the accelerated three-year application process, I had to take the German C1 exam (language proficiency) and the
Einbürgerungstest
, a kind of…
Dec 6, 2024
Eliott Kalfon
Managing To Dos: What has worked so far
Life
With the new year approaching, several friends have reached out asking me how to manage “To Do’s”, or my approach to getting things done.
Dec 3, 2024
Eliott Kalfon
Multi-fidelity Optimisation: The art of skimming
Algorithms
Computers
If you had 3 days to find the best book in a pile of 100 books with unknown authors and titles, how would you do it? You would not have the time to read all of them from…
Nov 10, 2024
Eliott Kalfon
Black-box Optimisation: Searching in the Dark
Algorithms
Computers
The previous articles on optimisation showed that we could leverage information about optimisation problems to solve them quicker. But what if we have no or very little…
Nov 3, 2024
Eliott Kalfon
Linear Programming: Optimisation at the Edges
Algorithms
Computers
In continuous optimisation problems, it is impossible to try all combinations. But what if a problem could be solved simply by evaluating the corners of the feasible region?…
Oct 19, 2024
Eliott Kalfon
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