This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation…
In vector calculus, the Jacobian matrix (/dʒəˈkoʊbiən/,[1][2][3] /dʒɪ-, jɪ-/) of a vector-valued function of several variables is the matrix of all its first-order partial derivatives. When this matrix is square, that is, when the function takes the same…
The covariance matrix has many interesting properties, and it can be found in mixture models, component analysis, Kalman filters, and more. Developing an intuition for how the covariance matrix operates is useful in understanding its practical implications. This article will…
Course overview Memory leaks and dangling pointers are the main issues of the manual memory management. You delete a parent node in a linked list, forgetting to delete all its children first -- and your
This theoretical physicist’s idea has an astounding legacy.
This link will take you to a page that’s not on LinkedIn
How to use polynomials to share secrets, and how to verify that the secret has been shared without unlocking it.
The Wavefunction Collapse Algorithm teaches your computer how to riff. The algorithm takes in an archetypical input, and produces procedurally-generated outputs that look like it.
A while back, there was a discussion comparing the performance of using the hashbrown crate (based on Google’s SwissTable implementation1) in the Rust compiler. In the last RustFest, Amanieu was experimenting on integrating his crate into stdlib, which turned out to have some…
A technical report on convolution arithmetic in the context of deep learning - vdumoulin/conv_arithmetic
The geometry puzzles that are lighting up Twitter.
Let's Encrypt does not currently generate Elliptic Curve certificates. Here's how to obtain one.
If you like to rely on the web to do your electronics and computer math, you’ll want to bookmark FxSolver. It has a wide collection of formulae from disciplines ranging from electronics, comp…
Computer scientists have been searching for years for a type of problem that a quantum computer can solve but that any possible future classical computer cannot. Now they’ve found one.
Last time we saw a geometric version of the algorithm to add points on elliptic curves. We went quite deep into the formal setting for it (projective space $ \mathbb{P}^2$), and we spent a lot of time talking about the right way to define the “zero” object in our elliptic curve…
A visual guide to Connectionist Temporal Classification, an algorithm used to train deep neural networks in speech recognition, handwriting recognition and other sequence problems.
A visual approach to understanding resolution based on MTF (modulation transfer function) curves.
In 1989, Kirk Lougheed of Cisco and Yakov Rekhter of IBM were having lunch in a meeting hall cafeteria at an Internet Engineering Task Force (IETF) conference. They wrote a new routing protocol that became RFC (Request for Comment) 1105, the Border Gateway Protocol (BGP), known…
Fish schools, bird flocks, and bee swarms. These combinations of real-time biological systems can blend knowledge, exploration, and exploitation to unify intelligence and solve problems more efficiently. There’s no centralized control. These simple agents interact locally…
In December 2017, researchers at Google and MIT published a provocative research paper about their efforts into “learned index structures”…
Which machine learning algorithm should you use? It is a central question in applied machine learning. In a recent paper by Randal Olson and others, they attempt to answer it and give you a guide for algorithms and parameters to try on your problem first, before spot checking a…
Searching through millions of points in an instant
Searching through millions of points in an instant
Minimal examples of data structures and algorithms in Python - keon/algorithms
I recently ran across this bloom filter post by Michael Schmatz and it inspired me to write about a neat variation on the bloom filter that…
This article will review the basics of the decimation-in-time FFT algorithms.
Machine learning algorithms aren’t difficult to grasp if you understand the basic concepts. Here, a SAS data scientist describes the foundations for some of today’s popular algorithms.
A new “shrinking bull’s-eye” algorithm from researchers at MIT speeds up complex modeling from days to hours.