Neural Networks for Machine Learning

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has g…

The course includes (informed and uninformed) search, constraint satisfaction, optimization, games, propositional and first order logic, pr…

This course is an introduction to artificial intelligence, focusing on problems of perception, machine learning, and reasoning under uncert…

The goal of this class is to familiarize you with various state-of-the-art machine learning techniques for classification, regression, clus…

CS101 teaches the essential ideas of Computer Science for a zero-prior-experience audience. The course uses small coding experiments in the…

This course explores how to construct neural networks in the Wolfram Language. The Wolfram Language neural network framework provides symbo…

Course Description In this course, you'll learn about some of the most widely used and successful machine learning techniques. You'll have …

Learn about the purpose, structure, and training process of neural networks to improve your machine learning skills. In this project-based …

Learn about the purpose, structure, and training process of neural networks to improve your machine learning skills. In this project-based …

Graph neural networks—neural networks capable of working with graph data structures—apply deep learning to data structures to reveal fr…