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

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Creator:

Prof. Dr. Ralf Herbrich

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Education

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Podcast data

Created By Prof. Dr. Ralf Herbrich

Podcast Status active

Started 24/04/2023

Latest Episode 17/07/2023

Release Period Episodic

Episodes 12

Partner Reviews 0

Language English

Frequency

Average Length

Country United States

Global Rank TOP 1%

Description

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.
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Episodes
- #756687 - Applications
  
  2 years ago
- #756688 - Bayesian Ranking
  
  2 years ago
- #756689 - Graphical Models
  
  2 years ago
- #756690 - Bayesian Classification & Graphical Models
  
  2 years ago
- #756691 - Bayesian Classification (2)
  
  2 years ago
Reviews
- There are no reviews yet
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Introduction to Probabilistic Machine Learning (ST 2023) - tele-TASK

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

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Podcast data

Description

Agent Outreach

Episodes

#756687 - Applications

#756688 - Bayesian Ranking

#756689 - Graphical Models

#756690 - Bayesian Classification & Graphical Models

#756691 - Bayesian Classification (2)

Reviews

Podcasts like this

The Haz Mat Guys podcast

The Haz Mat Guys podcast

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Online Marketing Podcast

Live Life in English

Live Life in English

Naked Genetics, from the Naked Scientists

Naked Genetics, from the Naked Scientists

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