Expert Contributors Articles

Luuk Derksen

Updated on May 22, 2025

T-distributed stochastic neighbor embedding (t-SNE) is a non-linear dimensionality reduction technique used to visualize high-dimensional data in a low-dimensional 2D or 3D space. Here's how to apply it in Python.

Abhijeet Pujara

Updated on May 22, 2025

MobileNet is a mobile-first class of convolutional neural network (CNN) that was open-sourced by Google and provides a starting point for training classifiers through a lightweight model.

Parag Radke

Updated on May 22, 2025

Mutual transport layer security (mTLS) is a security method that verifies both parties’ identities in a data transaction by confirming whether each has the correct private key. Here’s how it works, its applications, pros, cons and how to set it up.

Sean Benhur

Updated on May 22, 2025

A Siamese neural network (SNN) is a type of neural network architecture that contains two or more identical sub-networks with the same parameters and weights. SNNs can make predictions using only a few images per class.

Dhanesh TK

Updated on May 22, 2025

An interaction model serves as the blueprint for how a product behaves based on user behavior, with the goal of ensuring a seamless user experience. Take a deep dive into why interaction models matter and how they work.

Anthony Corbo

Updated on May 22, 2025

A Python algorithm is a series of step-by-step instructions used to solve a problem or complete a calculation. Take a look at some of the main types of algorithms used in Python and how to write algorithms in Python.

Jonathan Hsu

Updated on May 22, 2025

In programming, for loops are best used when you know the number of iterations ahead of time, whereas a while loop is best used when you don't know the number of iterations in advance. Both methods can help you iterate through your code.

Stephen Fordham

Updated on May 22, 2025

A Python class decorator is a class that wraps a function inside an instance of the class, allowing you to modify or extend the original function’s behavior without changing the source code. Here's how to apply it.

Bharath Krishnamurthy

Updated on May 22, 2025

Advancements in artificial intelligence and deep learning have led to the rapid development of chess engines. Here’s a look at the history of chess AI, how it continues to evolve and how developers can get started in building their own chess AI engines.

Parul Pandey

Updated on May 22, 2025

A vector norm is a function that measures the size or magnitude of a vector by quantifying its length from the origin. Vector norms are an important concept to machine learning. This guide breaks down the idea behind the L¹, L², L∞ and Lᵖ norms.