February 18th – February 20th3 modules

Introduction to Machine Learning

Introduction to Machine Learning

Abstract

This workshop, "Introduction to Machine Learning", is designed to provide participants with a foundational understanding of machine learning concepts and basic methods. The workshop will cover topics such as supervised and unsupervised learning, model training and evaluation, loss functions, optimization, density estimation, and neural networks. By the end of the workshop, attendees will be equipped with the knowledge and basic understanding of machine learning, preparing them to participate in academic seminars.

Modules

Module 1: General Concepts | 29 Bahman (Hosein Hasani)Feb 18, 2024, 2:30 PM – 4:00 PM
  • Concept of Learning
  • Supervised Learning
    • Classification
    • Regression
  • Unsupervised Learning
    • Clustering
    • Dimensionality Reduction
  • Concept of Optimization
  • Generalization and Over-fitting
  • Model Selection and Validation
Module 2: Learning | 30 Bahman (Hosein Hasani)Feb 19, 2024, 2:30 PM – 4:00 PM
  • Maximum Likelihood Estimation
  • Optimization
    • Loss functions
      • Classification
      • Regression
    • Regularization
Module 3: Neural Networks | 1 Esfand (Hosein Hasani)Feb 20, 2024, 2:30 PM – 4:00 PM
  • Biological Backgrounds
  • Multilayer Perceptron
  • Optimization
    • Gradient Descent
    • Error Backpropagation
  • Introduction to More Advanced Architectures
    • Convolutional Neural Networks
    • Recurrent Neural Networks
    • Transformers

Presenter

Hosein Hasani

Hosein Hasani