IIRF Online > Development > Data Science > Machine Learning > Experimental Design for Machine Learning
Experimental Design for Machine Learning by Futurelearn
Explore experimental design for machine learning in plant phenotyping, enhancing data collection and analysis.
Course Highlights
- Design experiments that will collect good quality data for use in machine learning and deep learning models
- Improve and organise datasets collected experimentally for use in machine learning and deep learning models
- Compare and select machine learning and deep learning models for use with your experimental data
- Interpret and evaluate results from machine learning and deep learning models and discuss ethical considerations surrounding their use
- Report effectively on findings from machine learning and deep learning models trained on experimental data
Skills you will learn!
Curriculum
3 Topics
Welcome to the course
Data collection and annotation
Summary and review
4 Topics
Organising your datasets
Expanding your dataset
Releasing data
Summary and review
3 Topics
Software model selection and training
Improving performance
Summary and Review
4 Topics
Trusting results
Interpreting output
Improving results
Summary and review
2 Topics
Tips and tricks
Course summary
Experimental Design for Machine Learning
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