Wolfram U

Introduction to Machine Learning in Wolfram Language

  • Instructor Led
  • 2 h 30 min
  • Beginner
  • 1 Certification

Estimated Time: 2 h 30 min

Course Level: Beginner

Requirements: This course requires basic working knowledge of Wolfram Language.

Certification Levels: Completion

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 net 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.

Featured Products & Technologies: Mathematica, Wolfram Language

Outline

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

Schedule

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Certifications Available

  • Completion Certificate

    Earn your certificate of completion for this course by attending an online class. Request your certificate using the class survey form.

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