Workshops and courses
Learning Pathway Machine learning
Date: No date given
This learning path teaches machine learning from simple concepts to complex ones. You start with a basic introduction to Machine learning. Then you move to different aspects of supervised machine learning such as classification and regression. Further topics introduce you to deep learning concepts such as convolutional and recurrent neural networks and conclue with fine-tuning a large language like model trained on protein sequences.
Keywords: beginner, machine learning
Learning objectives:
- Apply regression based machine learning algorithms
- Learn ageing biomarkers and predict age from DNA methylation datasets
- Learn classification background
- Learn how to create a CNN using Galaxy's deep learning tools
- Learn how to create a neural network using Galaxy's deep learning tools
- Learn how to do classification using the training and test data.
- Learn how to use Galaxy's machine learning tools.
- Learn how visualizations can be used to analyze predictions
- Learn how visualizations can be used to analyze the classification results
- Learn regression background
- Learn the convolution operation and its parameters
- Learn to apply logistic regression, k-nearest neighbors, support verctor machines, random forests and bagging algorithms
- Learn to fine-tune them on specific tasks such as predicting dephosphorylation sites
- Learn to load and use large protein models from HuggingFace
- Learn various RNN types and architectures
- Learn what a quantitative structure-analysis relationship (QSAR) model is and how it can be constructed in Galaxy
- Provide the basics of machine learning and its variants.
- Solve a sentiment analysis problem on IMDB movie review dataset using RNN in Galaxy
- Solve an image classification problem on MNIST digit classification dataset using CNN in Galaxy
- Understand the difference between feedforward neural networks (FNN) and RNN
- Understand the inspiration behind CNN and learn the CNN architecture
Event types:
- Workshops and courses
Sponsors: ELIXIR Europe, University of Freiburg, de.NBI
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