Certificate of Achievement
has completed the following course:
AI and Bioinformatics: Genomic Data Analysis
This course includes topics on AI learning, implementing ML algorithms for bioinformatics problem-solving, utilizing deep learning in bioinformatics, enhancing bioinformatics solutions with deep learning, optimizing hyperparameters, and analyzing and visualizing data for result reporting. It also covers guidelines for preparing bioinformatics papers for publications.
3 weeks, 2 hours per week
Nguyen Quoc Khanh Le
Associate Professor, Professional Master Program in Artificial Intelligence in Medicine
Taipei Medical University
Transcript
Learning outcomes
- Explain the concepts of AI learning, machine learning, and deep learning, and how they are applied in bioinformatics.
- Analyze and visualize data for reporting the results of bioinformatics experiments.
- Write bioinformatics papers for publication.
- Be able to perfom Weka and read results for futther analyzation
Syllabus
- Feature AI learning
- Implementing machine learning algorithms to solve bioinformatics problems
- Deep learning in bioinformatics
- Improving bioinformatics problems using deep learning
- Hyperparameters optimization
- Analyzing and visualizing data
- Analyzing and visualizing data for reporting the results
- How to prepare bioinformatics papers for publications
Issued on 19th October 2024
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This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.