InfoWorld

Deep learning vs. machine learning: Understand the differences

A classification problem is a supervised learning problem that asks for a choice between two or more classes, usually providing probabilities for each class. Leaving out neural networks and deep ...
The Next Web

An explanation of machine learning models even you could understand

If you are new to data science, this title is not intended to insult you. It is my second post on the theme of a popular interview question that goes something like: “explain [insert technical topic] ...
Visual Studio Magazine

Data Prep for Machine Learning: Encoding

Data Prep for Machine Learning: Encoding Dr. James McCaffrey of Microsoft Research uses a full code program and screenshots to explain how to programmatically encode categorical data for use with a ...
InfoWorld

14 popular AI algorithms and their uses

Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases. Amid all the hype and hysteria about ChatGPT, ...
Visual Studio Magazine

Neural Regression Classification Using PyTorch: Preparing Data

Dr. James McCaffrey of Microsoft Research presents the first in a series of four machine learning articles that detail a complete end-to-end production-quality example of neural regression using ...