Computational Zoology: Wolfram U Class

How to process zoology data. Access built-in and external species data and build simple machine learning applications. Examples include comparing species, image recognition and exploring biotic interactions. Video class.

Summary
How would you make use of a complete, integrated and fully automated platform for zoology computations? Learn how to use Wolfram Language to access built-in and external data about different animal species and also build simple machine learning models to process zoology data. Examples include a comparative study of the fastest mammals, image recognition to identify animals and exploring biotic interactions.

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You'll Learn To

Access built-in entities and properties relating to animal species
Visualize and annotate taxonomy graphs
Use public resource functions to access data from external databases, like GloBI
Identify different species in an image with pre-trained machine learning models
Train your own simple machine learning classifiers
Process video containing data relating to animals