The Algorithms That Make Instacart Roll

Instacart crunches petabytes daily to predict what will be on grocery shelves and even how long it will take to find parking

What is Huffman Coding?

The Huffman Coding algorithm is a building block of many compression algorithms, such as DEFLATE - which is used by the PNG image format and GZIP.

Self-Organising Textures

Neural Cellular Automata learn to generate textures, exhibiting surprising properties.

rgl | RubyGems.org | your community gem host

What Is Applied Category Theory? (2018)

This is a collection of introductory, expository notes on applied category theory, inspired by the 2018 Applied Category Theory Workshop, and in these notes we take a leisurely stroll through two...

Decades-Old Graph Problem Yields to Amateur Mathematician

By making the first progress on the “chromatic number of the plane” problem in over 60 years, an anti-aging pundit has achieved mathematical immortality.

RadixSpline: A Single-Pass Learned Index

A Single-Pass Learned Index.

LZ4, an Extremely Fast Compression Algorithm

Top 7 Data Structures You Should Really Know for Your Next Job Interview

Master these data structures to land in your next data science job

Benchmark functions | BenchmarkFcns

This website is for sale! benchmarkfcns.xyz is your first and best source for all of the information you’re looking for. From general topics to more of what you would expect to find here, benchmarkfcns.xyz has it all. We hope you find what you are searching for!

Practical Graph Theory in Ruby

This is the next installment in the "Practical Computer Science" series, where you will learn how to apply classic computer science concepts to solve real problems using Ruby. Today we are going to talk about Graph

KMP Algorithm (String Matching) Demystified

The string matching problem also known as “the needle in a haystack” is one of the classics. This simple problem has a lot of application…

BFGS in a Nutshell: An Introduction to Quasi-Newton Methods

Demystifying the inner workings of BFGS optimization

Lagrange multipliers with visualizations and code | by Rohit Pandey | Towar

In this story, we’re going to take an aerial tour of optimization with Lagrange multipliers. When do we need them? Whenever we have an…

Particle Swarm Optimization Visually Explained

Learn PSO algorithm as a bedtime story with GIFs and python code

A Short Guide to Hard Problems

What’s easy for a computer to do, and what’s almost impossible? Those questions form the core of computational complexity. We present a map of the landscape.

Discrete Cosine Transform in Video Compression - Explain Like I'm Five | OT

Understand how the Discrete Cosine Transform or DCT works and is used in Image and Video compression to reduce the size of the data without affecting quality.

What Makes the Hardest Equations in Physics So Difficult?

The Navier-Stokes equations describe simple, everyday phenomena, like water flowing from a garden hose, yet they provide a million-dollar mathematical challenge.

Peregrine: A Pattern-Aware Graph Mining System

Peregrine: A Pattern-Aware Graph Mining System.

A Comparison of Bandit Algorithms

Multi-Armed Bandits: Part 6

MLWhiz: Helping You Learn Data Science!

In this post, I am going to be talking about some of the most important graph algorithms you should know and how to implement them using Python.

6.851: Advanced Data Structures

6 functions you need for Algorithm Analysis

Understand the basic functions required for computing time complexity

All the ~Eigen-stuff they never thought you should know

To Infinity and…Linear Algebra?!

7 Statistical Distributions that every Data Scientist should know— with intuitive explanations

Intuitive explanations for the Normal, Bernoulli, Binomial, Poisson, Exponential, Gamma and Weibull distribution — with Python example code

Floating-Point Formats and Deep Learning

Floating-point formats are not the most glamorous or (frankly) the important consideration when working with deep learning models: if your model isn’t working well, then your floating-point format certainly isn’t going to save you! However, past a certain point of model…

Complete Introduction to the 30 Most Essential Data Structures & Algorithms

Data Structures & Algorithms (DSA) is often considered to be an intimidating topic - a common...

What are Differential Equations and how do they work?

Science News, Physics, Science, Philosophy, Philosophy of Science

Lagrange Multiplier Demystified

Understanding why it works

Euler's Formula: A Complete Guide | Math Vault

A complete guide on the famous Euler's formula for complex numbers, along with its interpretations, examples, derivations and numerous applications.

https://store.shahinrostami.com/product/practical-evolutionary-algorithms-b

Introduction to Evolutionary Algorithms

Optimization by natural selection

AI 101: Intro to Evolutionary Algorithms

Evolutionary Algorithms

Get the Book on Evolutionary Algorithms (With Python Notebooks) https://datacrayon.com/shop/product/practical-evolutionary-algorithms-book/ 3:06 - To skip to the main content Twitter: @ShahinRostami (http://twitter.com/ShahinRostami) An introduction to the topic of Evolutionary…

Polynomial Regression: The Only Introduction You’ll Need

A deep-dive into the theory and application behind this Machine Learning algorithm in Python, by a student

Advanced Concepts in Recursion Every Effective Programmer Should Know

One of the most powerful & useful coding approaches

Data Structures & Algorithms I Actually Used Working at Tech Companies - Th

Do you actually use data structures and algorithms on your day to day job? I've noticed a growing trend of people assuming algorithms are pointless questions that are asked by tech companies purely as an arbitrary measure. I hear more people complain about how all of this is a…

EM Algorithm

Mathematical Background and Example

Brownian motion with Python

We show how to emulate Brownian motion, the most famous stochastic process used in a wide range of applications, using simple Python code.

Geometric Folding Algorithms: Linkages, Origami, Polyhedra

This course focuses on the algorithms for analyzing and designing geometric foldings. Topics include reconfiguration of foldable structures, linkages made from one-dimensional rods connected by hinges, folding two-dimensional paper (origami), and unfolding and folding…

The Math of Social Distancing Is a Lesson in Geometry

How to safely reopen offices, schools and other public spaces while keeping people six feet apart comes down to a question mathematicians have been studying for centuries.

How Shazam works

A Mathematician’s Guide to How Contagion Spreads

Adam Kucharski wrote The Rules of Contagion before Covid-19. He talks about misinformation, bank failures, and coming up with hypotheses during a crisis.

Calculus for the Beginner— Building Calculus, Piece by Piece

Understanding the beauty of calculus

The Singular Value Decomposition without Algebra

Understand the Ultimate Linear Algebra concept with Geometry

Neat Tricks to Boost Your Genetic Algorithms

Genetic Algorithm (or Evolutionary Algorithm) — A simple, yet very powerful optimization technique which has seen resurgence in popularity…

What Is the z-Transform?

This Frequent Engineering Question gives a quick overview of an important mathematical technique used in digital signal processing, calculating the z-transform.

NIST Handbook of Engineering Statistics

Solving non-linear problems with genetic algorithms (Part 3)

In this series of articles, discover how genetic algorithms (also called evolutionary algorithms) can help you solve non-linear problems!

Back of the envelope estimation hacks

There are two types of engineers, the ones that can quickly do estimates and the ones that can’t. Are these people just smarter, or is there more to it? Enrico Fermi was a master at estimation Back of the envelope estimation is a skill that can be learned with practice. It…