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Get started with machine learning in Wolfram Language. Covers data types, feature extraction, classification, prediction and LLM access.
Course Overview
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
Video Duration
Video 17 minutes
Video 28 minutes
Video 311 minutes
Video 415 minutes
Video 521 minutes
Video 611 minutes
Course Overview
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
Video Duration
Video 17 minutes
Video 28 minutes
Video 311 minutes
Video 415 minutes
Video 521 minutes
Video 611 minutes
