Biodiversity Explorations with Machine Learning Study Group Sessions - Wolfram U

Apply machine learning techniques, artificial intelligence and Wolfram Language functions to biodiversity data. Access built-in biodiversity data. Learn classification, social media text analysis, audio processing, deploying a trained neural network.

Summary
Learn to apply machine learning techniques and Wolfram Language functions to biodiversity data. These Study Group sessions begin by introducing you to biodiversity data access functions available with the entity framework built into Wolfram Language and in the Wolfram Function Repository. Later sessions cover examples of classification, social media text analysis, audio processing of bird sounds and deploying a trained neural network image classifier to your mobile phone. Each session includes lessons, polls to review key concepts and practice problems.

Featured Products & Technologies: Wolfram Function Repository, Wolfram Language, Wolfram Neural Net Repository, Wolfram Notebooks


You'll Learn To

Access data using built-in entities and special import functions for biodiversity datasets
Import and analyze words and sentences in social media posts
Download and customize neural net models from the Wolfram Neural Net Repository
Identify and classify different species from images and audio recordings using high-level machine learning functions



About Wolfram Daily Study Groups
Daily Study Groups are fun, directed, incremental learning resources. An instructor guides each session by sharing short lessons, polling the group to review key concepts, introducing practice problems and answering questions.