Similarity Search, Part 7: LSH Compositions

Dive into combinations of LSH functions to guarantee a more reliable search

Dive into combinations of LSH functions to guarantee a more reliable search

Introduction: In the quest to solve complex optimization problems and simulate natural evolution,...

In this article we will learn about its definition, differences and how to calculate FLOPs and MACs using Python packages.

All of the formulas

A simple geometric idea has been used to power advances in information theory, cryptography and even blockchain technology.

Concise summary of the Hilbert transform: mathematics, effects on signals, and applications in telecommunications.

Circular functions and hyperbolic functions are special cases of the Jacobi functions. This post shows how.
Breaking down one of the less well-known distributions in data science
Working code examples meant to clarify AlphaDev's deep learning assembly optimizations.
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Andrew Wiles thought he had a solution to an age-old puzzle. Until it began to unravel.

Understanding the most underrated trick in applied Machine Learning

Telfar has introduced a “Live Price” pricing model based on customer demand.

Why do we use the logistic and softmax functions? Thermal physics may have an answer.

How bid density impacts ads, recommender systems, and salary negotiations.
A researcher has solved a nearly 60-year-old game theory dilemma called the wall pursuit game, with implications for better reasoning about autonomous systems such as driver-less vehicles.

I really enjoyed reading Algorithmic Trading: A Practitioner’s Guide by Jeffrey M. Bacidore. Before starting, I imagined it would cover various strategies for trading in the markets, along th…

While world record holders may have memorized more than 70,000 digits of pi, a JPL engineer explains why you really only need a tiny fraction of that for most calculations – even at NASA.
List of parsing algorithms

Geoffrey Hinton, professor at the University of Toronto and engineering fellow at Google Brain, recently published a paper on the Forward-Forward algorithm (FF), a technique for training neural networks that uses two forward passes of data through the network, instead of…

Delve deeper into the concept of multi-armed bandits, reinforcement learning, and exploration vs. exploitation dilemma.

Graph-based models capture correlations efficiently enough to enable machine learning at scale.

This is the Fourier Transform. You can thank it for providing the music you stream every day, squeezing down the images you see on the Internet into tiny

Let's say you want to send an encrypted message to your friend in order to avoid it being intercepted...
NIST has formally retired the widely used 27-year-old SHA-1 cryptographic algorithm, bringing cryptographic security into the modern age.

3rd edition


What is a wave function and why does it collapse? Wave function collapse is a algorithm...

When quantum computers become powerful enough, they could theoretically crack the encryption algorithms that keep us safe. The race is on to find new ones.
The guide provides a practical introduction to Digital Signal Processing, covering a wide range of topics. It is an ideal introduction for those new to DSP, and an excellent reference for more experie

A comparison between different topic modeling strategies including practical Python examples

We have curated almost thirty suggested math books by Neil Sainsbury for self-learners. All those books help you in different fields of math.

From a theoretical introduction to the hands-on implementation: here’s what you need to know about the Chirplet Transform

Finding the adjacency graphs for US states and Texas counties using Mathematica

A detailed primer on Roaring bitmaps explaining what they are, how they're different from traditional bitmaps, and how they work internally.
The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis

Left unchecked, pricing algorithms might unintentionally discriminate and collude to fix prices

As of 2024, The Data Incubator is now Pragmatic Data! Explore Pragmatic Institute’s new offerings, learn about team training opportunities, and more.

In this article, we discuss the importance of linear algebra in data science and machine learning.
Brain-inspired unsupervised machine learning through competition, cooperation and adaptation
Quantifying Uncertainty in Computation.
Articles, software, calculators, and opinions.
No need to worry about getting stuck in local minima anymore
Illustrated study guides ideal for visual learners.

Personalization algorithms influence what you’ve chosen yesterday, what you choose today and what you’ll be choosing tomorrow. Simultaneously, there seems to be something wrong with personalization. We are continuously bumping into obtrusive, uninteresting ads. Our digital…

More and more companies are announcing new products based on human curation, even as the most important content players — Google and Facebook — rely on algorithms. When does curation make sense, an…