There will be 9 homework assignments during the semester in addition to the exams. The assignments will consist of both theoretical and programming problems. Homework assignments will be released via ...

Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence is written by Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, ...

One of the best ways to reduce your vulnerability to data theft or privacy invasions when using large language model artificial intelligence or machine learning, is to run the model locally. Depending ...

Welcome! This repository encapsulates all materials that I created for the course ISE-364 / 464, titled "Introduction to Machine Learning". This includes all original lecture slides as well as ...

Abstract: Not many technologies have ever captured the public imagination as widely and abruptly as artificial intelligence (AI). While AI has been a staple of science fiction for decades with actual ...

DeCapria, D., 2024: Introduction to MLOps: Bridging Machine Learning and Operations. Carnegie Mellon University, Software Engineering Institute's Insights (blog ...

ABSTRACT: This study evaluates the performance and reliability of a vision transformer (ViT) compared to convolutional neural networks (CNNs) using the ResNet50 model in classifying lung cancer from ...

EO College announced the launch of a new online course: Introduction to Machine Learning for Earth Observation. This course is now available to the public, completely free of charge. The EO College is ...

Feel free to contact me (radek.svoboda@vsb.cz or office EA404, FEI) if you have any questions or want to discuss any topic from the course 😊 The aim of the exercise is to learn basic techniques for ...

Simulation is an indispensable tool in both engineering and the sciences. In simulation-based modeling, a parametric simulator is adopted as a mechanistic model of a physical system. The problem of ...