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Zoekresultaten (186)

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HBO/WO

MBO

25 januari 2024

Radboud Science Podcast | Wat is Machine Learning eigenlijk?

Je hebt de termen ‘Machine Learning’ of AI vast wel eens voorbij horen komen de laatste tijd, maar wat is Machine Learning eigenlijk? En wat zijn de voordelen en gevaren ervan? En gaan we door AI echt onze banen kwijtraken? In deze aflevering gaan we in gesprek met Tom Heskes. Hij is Machine Learning expert en legt ons in deze aflevering alles uit wat je erover moet weten. Over Radboud Science Podcast In de Radboud Science Podcast nemen wij, Bob en Sophie, je mee in het allernieuwste onderzoek van de Faculty of Science van de Radboud Universiteit in Nijmegen. Van onzichtbaar kleine deeltjes tot oneindig grote zwarte gaten, van het leven op aarde tot de ins en outs van de online wereld – geen enkel wetenschappelijk onderwerp wordt geschuwd. Elke maand vragen we onderzoekers de hemd van het lijf over hun onderzoek en brengen we je op de hoogte van de laatste inzichten. Muziek: Clemens Wijers Music Productions

Audio

Bob Stienen, Sophie Schot, Tom Heskes

5 oktober 2023

The Shallow and the Deep

The Shallow and the Deep is a collection of lecture notes that offers an accessible introduction to neural networks and machine learning in general. However, it was clear from the beginning that these notes would not be able to cover this rapidly changing and growing field in its entirety. The focus lies on classical machine learning techniques, with a bias towards classification and regression. Other learning paradigms and many recent developments in, for instance, Deep Learning are not addressed or only briefly touched upon. Biehl argues that having a solid knowledge of the foundations of the field is essential, especially for anyone who wants to explore the world of machine learning with an ambition that goes beyond the application of some software package to some data set. Therefore, The Shallow and the Deep places emphasis on fundamental concepts and theoretical background. This also involves delving into the history and pre-history of neural networks, where the foundations for most of the recent developments were laid. These notes aim to demystify machine learning and neural networks without losing the appreciation for their impressive power and versatility.

Open (Access) Tekst Boek

Michael Biehl

23 augustus 2023

Lecture: Privacy and machine learning

Understanding of privacy risks in machine learning Distinguish training data and model extractions attacks/threats Learn adversarial modelling and threat analysis in AI Learn the principles of AI privacy auditing Distinguish membership and reconstruction attacks Distinguish membership attack and model inversion

Website

HCAIM Consortium

6 april 2022

Essential skills for applying machine learning methods for medical image analysis.

This repository contains a number of tutorials on essential skills for applying machine learning methods for medical image analysis. The tutorials are still work in progress. Thus far, the following tutorials are implemented: Python essentials Numerical and scientific computing in Python Working with medical images in Python Deep learning with Keras Linux essentials Git essentials

Website

Mitko Veta

21 maart 2022

Medical Image Analysis

This course is a sequel to the image processing course (8DB00) in the TU/e bachelor program Biomedical Engineering. In the Medical Image Analysis course (8DC00), we concentrate on more advanced image analysis methods and on how they can be used to tackle clinical problems. Topics covered include image registration, computer-aided diagnosis and machine learning. The course has a very strong focus on programming (implementing medical image analysis methods) in Python and relies on previous knowledge of calculus and linear algebra.

Website

Maureen Eijnatten, van, Mitko Veta, Veronika Cheplygina, Daniel Krahulec, Evi M.C . Huijben

23 augustus 2023

Lecture: Unsupervised Learning

Learn basics of unsupervised learning

Website

HCAIM Consortium

23 augustus 2023

Tutorial: Data architecture

To know the fundamentals of Machine Learning System architectures To know how to design and automate a Machine Learning pipeline To know the basic aspects of some ML production pipeline To know how to configure a ML production pipeline on Cloud

Website

HCAIM Consortium

23 augustus 2023

Interactive session: Data architecture

To know the basic data architectures in Machine Learning Pose questions about the most suited data architectures

Website

HCAIM Consortium

23 augustus 2023

Practical: Explainable Machine Learning (XAI)

Understand the Taxonomy of XAI techniques Understand the advantages and drawbacks of selected approaches to XAI Apply selected XAI techniques to a data set Identify future directions of XAI

Website

HCAIM Consortium

23 augustus 2023

Interactive Session: Privacy Preserving Machine Learning

Understand the concept of Privacy Preserving Fundamentals Discuss application of PPML in practical Scenarios

Website

HCAIM Consortium