Modern Deep and Machine Learning have many classical approaches “under the hood”. Photo by Nathan Van Egmond on Unsplash

Under the Hood of Machine and Deep Learning

Modern Deep Learning methods deliver extraordinary results every day. To understand its foundations, it is advisable to understand the classic Pattern Recognition and Machine Learning methods as well. In the Winter Semester 2020/21, I was teaching a class on this topic which is entirely available as Open Access material. You…

All Scientists receive toxic comments in peer review at some point. How can we deal with this situation? Photo by Mikael Seegen on Unsplash

Scientific Peer Review affects all computer science researchers and academics in their daily life. More often than we actually want to admit, the process causes severe problems and wrong decisions are being made.

PEER REVIEW EXAMPLE

Reviewer 1: Good paper — accept
Reviewer 2: Paper OK — weak accept
Reviewer 3: Paper…

Don’t succumb to the seven sins of machine learning! Photo by Maruxa Lomoljo Koren from Pexels.

Machine learning is a great tool that is revolutionizing our world right now. There are lots of great applications in which machine and in particular deep learning has shown to be way superior to traditional methods. Beginning from Alex-Net for Image Classification to U-Net for Image Segmentation, we see great…

Summary of the Summer Term 2020. Photo by Luis Rocha on Unsplash

FAU LECTURE NOTES ON DEEP LEARNING

Corona was a huge challenge for many of us and affected our lives in a variety of ways. I have been teaching a class on Deep Learning at Friedrich-Alexander-University Erlangen Nuremberg, Germany for several years now. This summer, our university decided to go “virtual” completely. …

Lecture Notes in Pattern Recognition

Image under CC BY 4.0 from the Pattern Recognition Lecture.

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog

FAU Lecture Notes in Pattern Recognition

Image under CC BY 4.0 from the Pattern Recognition Lecture.

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog

FAU Lecture Notes in Pattern Recognition

Image under CC BY 4.0 from the Pattern Recognition Lecture.

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog

FAU Lecture Notes in Pattern Recognition

Image under CC BY 4.0 from the Pattern Recognition Lecture.

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog

FAU Lecture Notes in Pattern Recognition

Image under CC BY 4.0 from the Pattern Recognition Lecture

These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog

Andreas Maier

I do research in Machine Learning. My positions include being Prof @FAU_Germany, President @DataDonors, and Board Member for Science & Technology @TimeMachineEU

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