Wolfram U

Zero to AI in 60 Minutes

Estimated Time: 1 h 15 min

Course Level: Beginner


Follow this video series to get started with machine learning in Wolfram Language. Examples demonstrate machine learning concepts and the automated machine learning capabilities in Wolfram Language. Start with basic concepts of machine learning. Learn how to work with various types of data and how to represent ideas with Wolfram Language code. Move on to feature extraction, classification and prediction. Text, data and image classification examples are used to demonstrate these methods. Next, get an overview of the neural network framework that is integrated into Wolfram Language. Finally, learn about generative AI and how to combine new AI models with traditional Wolfram workflows.

Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)

You'll Learn To

  • Understand types of and typical tasks for machine learning
  • Perform a variety of machine learning tasks in Wolfram Language using automated functions
  • Make a simple feature extractor to cluster images
  • Identify different types of classification models, such as nearest neighbors, logistic regression and others
  • Use, work with and retrain pre-built neural networks in the Wolfram Neural Net Framework
  • Prevent overfitting models with regularization, validation sets and dropout layers
  • Access LLM technology from within the Wolfram environment