Artificial Intelligence and Machine Learning in Life Science

Artificial Intelligence and Machine Learning in Life Science

1. • Lecture Notes

     • Introduction of Machine Learning [Module 1.1] [Module 1.2]

     • Supervised & Unsupervised learning [Module 2] [Example of RL]

     • Decision Tree [Module 3] [Class note]

     • Confusion Matrix [Module 3.1]

     • Artificial Intelligence [Module 4]

     • AI programming language [Module 5]

   • Practical Materials 

     • How to install Anaconda

     • Training and Evaluating Binary Classifier [Notebook]

     • Training and Evaluating Multiclass Classifier [Notebook]

     • Leaf Disease Detection using Deep learning Model [Dataset: Train, validation, Test] [Notebook]

• • Previous Year Course Feedback  [1]