CourseFrontier
Machine Learning for Strain Selection
Applying predictive models to phenotypic and genomic data to prioritise fungal strains for yield, quality or bioprocess performance.
Level
Course
Modules
6
Duration
2–3 months
Format
Live online
School
Digital Mycology
What you will study
6 modules, one growing line of knowledge.
Hover or tap a module to follow the path from the first session to the final project.
At a glance
How the programme grows, phase by phase.
PHASE 1
Foundations
- Strain selection as a prediction problem
- Phenotyping and data collection at scale
PHASE 2
Practice
- Supervised learning: regression and classification
- Genomic prediction and marker-assisted selection
PHASE 3
Application & project
- Small data, overfitting and validation
- Active learning for screening campaigns
What you will be able to do
Machine Learning for Strain Selection
By the end you will have worked through:
- Strain selection as a prediction problem
- Phenotyping and data collection at scale
- Supervised learning: regression and classification
- Genomic prediction and marker-assisted selection
- Small data, overfitting and validation
Your learning path
Where this programme sits in the school.
People also search for
Related searches
FAQ
Questions about this programme
Do I need experience to study Machine Learning for Strain Selection?
No previous experience is needed. The course starts from the foundations.
How is Machine Learning for Strain Selection taught?
Live online, in 6 modules with a working professional, a small group and a final project.
What certificate do I get?
Fungaris issues a course certificate on completion. Accreditations are assessed according to the training completed and the local regulations of each country.
What can I study after Machine Learning for Strain Selection?
The natural next step is Diploma in Fungal Bioinformatics.
How it is taught
Live, in a small group, with a real project.
i.A live professorMycologists, biologists, engineers and chefs who work in the field.
ii.A small groupQuestions in every session, and classmates from many countries.
iii.A real projectEach programme closes with applied work, reviewed by your professor.
iv.A certificateIssued by Fungaris on completion of the programme.
Related programmes
All digital mycology programmesKeep branching.
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Admissions & Fees
Join the next intake.
Pay in full with a 20% reduction, or reserve your place with 40% and pay the rest in monthly instalments.