Author: Jeff Prosise

Supervised Learning with k-Nearest Neighbors

Most machine-learning models fall into one of two categories. Supervised-learning models make predictions. For example, they predict whether a credit-card transaction is fraudulent or a flight will arrive on time. […]


Unsupervised Learning with k-Means Clustering

Machine-learning models fall into two broad categories: supervised-learning models and unsupervised-learning models. The purpose of supervised learning is to make predictions. The purpose of unsupervised learning is to glean insights […]

Unsupervised Learning with k-Means Clustering – Part II

Machine-learning models fall into two broad categories: supervised-learning models and unsupervised-learning models. The purpose of supervised learning is to make predictions. The purpose of unsupervised learning is to glean insights […]

Machine Learning and AI for Software Developers

Machine learning (ML) and artificial intelligence (AI) are transforming the way software is written and, more importantly, what software is capable of. Developers are accustomed to writing code that solves […]

WintellectNOW & Skillsoft Partnership

Six years ago, we launched WintellectNOW with a just a handful of videos authored by me, Jeffrey Richter, and John Robbins. The goal was to make the same hard-core developer […]

Taming the SplitView Control in Windows 10

Of all the new controls featured in Windows 10, SplitView is perhaps the most emblematic. SplitView makes it easy to implement “hamburger menu” interfaces like the ones featured in Windows […]