Introduction to Probabilistic Machine Learning (ST 2023) - tele-TASK

No. of episodes

Latest episode

2023-07-17

Where can you listen?

Probabilistic machine learning has gained a lot of practical relevance over the past 15 years as it is highly data-efficient, allows practitioners to easily incorporate domain expertise and, due to the recent advances in efficient approximate inference, is highly scalable. Moreover, it has close relations to causal inference which is one of the key methods for measuring cause-effect relationships of machine learning models and explainable artificial intelligence. This course will introduce all recent developments in probabilistic modeling and inference. It will cover both the theoretical as well as practical and computational aspects of probabilistic machine learning. In the course, we will implement all the inference techniques and apply them to real-world problems.

Episodes

Questions & Answers

How many episodes are there of Introduction to Probabilistic Machine Learning (ST 2023) - tele-TASK?

There are 12 episodes avaiable of Introduction to Probabilistic Machine Learning (ST 2023) - tele-TASK.

What is Introduction to Probabilistic Machine Learning (ST 2023) - tele-TASK about?

We have categorized Introduction to Probabilistic Machine Learning (ST 2023) - tele-TASK as:

Education
Courses

Where can you listen to Introduction to Probabilistic Machine Learning (ST 2023) - tele-TASK?

Introduction to Probabilistic Machine Learning (ST 2023) - tele-TASK is available, among others places, on:

Apple Podcasts
Podtail
Google Podcasts

When did Introduction to Probabilistic Machine Learning (ST 2023) - tele-TASK start?

The first episode of Introduction to Probabilistic Machine Learning (ST 2023) - tele-TASK that we have available was released 17 April 2023.

Who creates the podcast Introduction to Probabilistic Machine Learning (ST 2023) - tele-TASK?

Introduction to Probabilistic Machine Learning (ST 2023) - tele-TASK is produced and created by Prof. Dr. Ralf Herbrich.