Webinar: Introduction to Machine Learning by Wolfram Research

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About This Webinar

This course introduces the easy-to-use machine learning superfunctions available in Wolfram Language. You will learn how to perform supervised and unsupervised learning tasks with just a few lines of code. We will start with regression, classification, clustering and anomaly detection, and from there, we'll move on to the state-of-the-art neural network framework. Examples using the Wolfram Neural Net Repository are shown with instructions for building your own neural networks from scratch. Basic familiarity with Wolfram Language or introductory-level skill in any programming language is recommended. A certificate of course completion is available.

Learn more about this course by going to the Wolfram U catalog.

Agenda

Introduction to Machine Learning
Supervised Learning
Unsupervised Learning
The Neural Network Framework

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