Building Educational Chatbots: Project Overview

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Explores the impact of spatial configuration on teaching interactions in classrooms, analyzing seating arrangements and teacher movements.

Introduction to Applied Data Analysis

Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.

Introduction to Machine Learning: Course Overview and Basics

Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.

Modern NLP: Project Description

Presents a project description for building educational chatbots using ChatGPT-like models, outlining stages, policies, and data sharing for research purposes.

Applied Machine Learning

Introduces applied machine learning concepts such as data collection, feature engineering, model selection, and performance evaluation metrics.

Clean Order Project

Covers the Clean Order Project, consisting of three deliverables worth 65% of the final grade.

Machine Learning Basics

Introduces machine learning basics, including data collection, model evaluation, and feature normalization.

Introduction to Machine Learning

Covers the basics of machine learning, including supervised and unsupervised learning, linear regression, and classification.

Abstract Interpretation in Stainless

Explores abstract interpretation in Stainless, demonstrating its application in program verification and discussing future directions for the project.

Scaling Language Models: Efficiency and Deployment

Covers the scaling of language models, focusing on training efficiency and deployment considerations.