layout: learning-pathway
tags: [beginner, machine learning]
type: use
editorial_board:
- anuprulez
title: Machine learning
description: |
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.
pathway:
- section: "Module 1: Introduction to Machine learning"
description: |
This is an introductory section explaining basic concepts in machine learning such as its types and data splitting techniques.
tutorials:
- topic: statistics
name: machinelearning
- section: "Module 2: Classification and Regression"
description: |
Regression and classification
tutorials:
- topic: statistics
name: classification_machinelearning
- topic: statistics
name: regression_machinelearning
- section: "Module 3: Deep learning"
description: |
Deep learning
tutorials:
- topic: statistics
name: CNN
- topic: statistics
name: RNN
- section: "Module 4: Fine tuning protein language model"
description: |
Fine tuning protein language models
tutorials:
- topic: statistics
name: fine_tuning_protTrans
