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Wolfram U

Computational Food and Nutrition: Wolfram U Class

via Wolfram U

Overview

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How to compute, analyze and visualize data about food. Use Wolfram Language's built-in knowledgebase for food science research, recipe management, content development and education.

Course Overview
Access new possibilities for food science research, cooking, recipe management and nutrition education with easy-to-use computational tools and functions in Wolfram Language. The videos in this course show you how to compute, analyze and visualize data from Wolfram Language's built-in knowledgebase of foods. A registered dietitian demonstrates how to explore the extensive food and nutrition data readily available in Wolfram Language as well as ways to analyze nutrition labels and nutrient statistics.Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)
You'll Learn To


Ask nutrition questions in natural language and get precise, computable food data expressions
Retrieve quantitative and qualitative data for almost 500,000 foods
Explore the wide range of food categories, attributes and property classes
Quickly produce nutrition labels


Do fast and easy nutrition analysis with Wolfram Language resource functions
Create colorful, informative plots and 3D visualizations
Produce bar charts and histograms comparing nutrients across multiple foods
Uncover patterns and relationships with nutrition statistical analysis



Video Duration

Video 122 minutes
Video 229 minutes
Video 326 minutes

Syllabus

  • Ask nutrition questions in natural language and get precise, computable food data expressions
  • Retrieve quantitative and qualitative data for almost 500,000 foods
  • Explore the wide range of food categories, attributes and property classes
  • Quickly produce nutrition labels
  • Do fast and easy nutrition analysis with Wolfram Language resource functions
  • Create colorful, informative plots and 3D visualizations
  • Produce bar charts and histograms comparing nutrients across multiple foods
  • Uncover patterns and relationships with nutrition statistical analysis

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