At a Glance

Name: AI and ML in Biomedical Sciences: A Workshop for iBest 2024
Price: Free CAD
Rating: 4.6 (55 reviews)
Author: joseph_santarcangelo, alice_rueda, fateme_akbari, wojciech_fulmyk, kang_wang, ricky_shi

This course contains items for the 2024 iBest workshop entitled "AI in Biomedical Sciences: A Comprehensive Workshop on Data Classification, Visualization, and Modelling". The first part of this course covers classification using a variety of methods including KNN, linear classifiers, SVM, and decision tree based methods including random forest and gradient boosting. The second part introduces neural networks, object detection, U-Net, and generative adversarial networks (GANs). The second part also includes large language models (LLMs), transformers, and AI agent development using LangChain.

Course Syllabus

This is an in-person course; notes will only be available to attendees.

Part 1

Introduction to Biomedical Features

· Common biomedical features

· Motivating examples

k-Nearest Neighbors (KNN)

· Hyperparameter tuning (k)

· Metrics (accuracy, F1 score, AUC, etc.)

Linear Classifiers

· Logistic regression

· The Softmax function (time permitting)

Support Vector Machines (SVM)

Decision Trees

· Gini impurity and entropy

Random Forest

Gradient Boosting

· Feature importance in tree-based algorithms

· Handling imbalanced data

Model-Agnostic Feature Selection

Part 2

Neural Networks

· Softmax

· Multilayer perceptron (MLP)

Convolutional Neural Networks (CNN)

Object Detection (featuring a take-home assignment)

U-Net

GenAI for Images using GAN (featuring a take-home assignment)

Large Language Models (LLMs)

· One-hot encoding

· Bag-of-words

· Bigram models, N-gram models

· Word embeddings (word2vec)

Advanced Topics

· Transformers

· Causal decoders and encoders

· Fine-tuning (LoRA, PEFT)

· Reinforcement fine-tuning

· Retrieval-Augmented Generation (RAG) and memory

· LangChain - Lab with LangChain, RAG, and Llama 3.1 405B/Mistral Large 2 123B

Offered By: IBMSkillsNetwork

AI and ML in Biomedical Sciences: A Workshop for iBest 2024

At a Glance

Course Syllabus

Part 1

Part 2