Archive of Knowledge Base

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⚠️ This is the archive of all pages on this website, but may not be the best way to navigate. See the Knowledge Base for a more streamlined start.

LLM Products
Markdown Reference
The Stack
Everything LLMs
Subscriptions and Services
My Wine Map
Life Maps
Machine Learning literature
Textbooks on Various Subjects
Be Suspicious of Stories
Hypothesis Testing
Self Advice
Movies and TV
Design Inspirations
Topics in Bayesian Machine Learning
The Gaussian Cheatsheet
Data Sources
Diffusion Models
Questions for Self-Introspection
Reviewing Statistics
Cross-Entropy, Label Smoothing, and Focal Loss
Differential Entropy
Thoughtful Essayists
Higher-order gradients in PyTorch, Parallelized
Notes on OOD Generalization
Raw notes on Interpretable Machine Learning
Gradient Boosted Decision Trees: A Recap
Decision Theory
Beyond Bayes
Books I want to write
Tiny Pleasures
Mother of all Bias Models
Memes for my life
Big Picture Papers
Machine Learning courses
Topics in Numerical Analysis
Sustainable Materials of the Future
On good writing
Common Yardsticks
Force Multipliers
Adages, Quotes
Measuring time
Elements of Learning
Linguistic Relativity
Science and superstition
Me and My Research
LaTeX code snippets
Elements of the Knowledge Base
The sun and the wind
Ideological Necrophillia
Are ideas becoming harder to find?
Cognitive and Experimental psychology
The "Think Different" Researcher
Nikolai Vavilov
On charity
Bash code snippets
Oddly satisfying Twitter accounts
Numerical code snippets
The Science of Science
The power of abstraction
The absolute zero of neural networks
Intoxicated by statistics
Dormant skills
The CRAP Principle
Be the horse breeder
Math and beauty
The Gibbs distribution and general Bayes
Big fat list of Mental Models
Existential Risks
Radical Scepticism
Why is Bayesian inference hard?
Narendra Dabholkar
The Lessons of History
James Randi
C++ code snippets
The closest thing to binary trees in nature?
Orthogonal projectors and linear regression
Stigler's law of eponymy
Discovering Taylor series the hard way
The rabbit and the beaver
Python code snippets
Linear Algebra Done Right
ML Fragments
Schools and pedagogy
How do I read The Economist?
The Honduran Bridge
Communicating the scientific method
Cognitive fallacies
Inoue Enryō
The Market Competition Matrix
Statistics, Origins and People
Parkinson's Law
Institutional Short-Sightedness
Chronological dating techniques
Quantum ML Scribe
Nostalgia narratives
Lights and Shadows
An Introduction to Epipolar Geometry
Johnny Decimal
Concepts in literature
RL: Tricks of the Trade
Code snippets
Real-Life Decision Making Systems
Shape of My Heart
Cooking Recipes
World Materials
Inflation Tax
Concepts from economics
Development and Population response
Tax Filing
Information Types
Knowledge Base Organization Philosophy
Deriving the Cross Entropy Method
The Stein Gradient
Policy Gradients in a Nutshell
When does SGD work well?
The beauty of Bayesian Learning
PyTorch Data Loaders are abstraction done right!
Visualizing the Confusion Matrix
The magic of Automatic Differentiation
A Primer on Projective Geometry
Introduction to RANSAC
Nginx and dynamic DNS upstreams
Choosing the right keys
Before the Flood: A review
Setup custom email addresses
Getting started with Compose and WordPress
Building Docker Images on Travis CI
Microservices is not the solution you think
For better software delivery
The Ultimate Guide to Building Cloud Applications - Development
The Ultimate Guide to Building Cloud Applications