Alex Molas Blog
Adding search to my static blog.
Who needs git when you have 1M context windows?
Semantic Unit Testing
Three symmetric math riddles
Optimizing Jupyter Notebooks for LLMs
Win your fantasy league using operations research
Something happens to everyone.
In defense of Leetcode Interviews
Good code is rarely read
You need more than p-values
hn-index
A search engine in 80 lines of Python
ChatGPT knows things that Google doesn’t
Guide to onboarding in a new job
2023 review
I hate MFA
Conditioning is grouping by
The least controversial movie
Reading S3 data from local PySpark
Stupid by choice
Different Types of Means
How far can you jump from a swing?
Analyzing Gender Gap in Chess
Expected $k$ highest value from $n$ Gaussian draws.
Good Science, Good Engineering.
You’re the best at something.
512KB Club
Automate your static blogroll.
About math limitations.
Nobody cares about your blog.
Why did I make my blog uglier?
A game for the next 15 years: counting license plates
How much for your brain?
Debunking the Myth of Dollar Cost Averaging
A randomized voting strategy
How to initialize your bias.
The error of the error.
The Sweet Spot for Buying Used Cars.
Discovering the best Chess960 variation.
2022 review
Can Random Forests overfit?
Mate with only pawns and no promotions.
Computability Theory (ii): uncomputable numbers.
Computability Theory (i): the Halting Problem.
Choose the smallest number not chosen yet.
TIL: constant folding in python.
L1 regularization from a bayesian perspective
Field theory for recurrent mobility
Your laptop is an implementation detail
Vectorizing impossible operations: boolean algebra, sets, and filters
Data science preflight checklist.
Why do we minimize the mean squared error?
Training TensorFlow models with big tabular datasets (iii): preparing a warmup for TensorFlow models.
Why bureaucracy is fundamentally wrong.
Feynman’s Restaurant Problem.
Counterintuitive statistics (i): a fair coin game.
Training TensorFlow models with big tabular datasets (ii)
Coding sucks.
Training TensorFlow models with big tabular datasets (i).
Continuous Blackjack (ii): deriving basic equations from two other perspectives.
Continuous Blackjack (i): introduction and first results.
Data Science and Software Engineering (I)
Dynamic Programming (i): Multiplying Matrices