Fundamentals of Bayesian Data Analysis in R - Introduction to the course
https://www.datacamp.com/courses/fundamentals-of-bayesian-data-analysis-in-r ← Click this link to go to the interactive online course "Fundamentals of Bayesian Data Analysis in R" over at DataCamp.
Course description
--------------------------------
Bayesian data analysis is an approach to statistical modeling and machine learning that is becoming more and more popular. It provides a uniform framework to build problem specific models that can be used for both statistical inference and for prediction. This course will introduce you to Bayesian data analysis: What it is, how it works, and why it is a useful tool to have in your data science toolbox.
Видео Fundamentals of Bayesian Data Analysis in R - Introduction to the course канала rasmusab
Course description
--------------------------------
Bayesian data analysis is an approach to statistical modeling and machine learning that is becoming more and more popular. It provides a uniform framework to build problem specific models that can be used for both statistical inference and for prediction. This course will introduce you to Bayesian data analysis: What it is, how it works, and why it is a useful tool to have in your data science toolbox.
Видео Fundamentals of Bayesian Data Analysis in R - Introduction to the course канала rasmusab
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Bayes@Lund 2017 -- Stefan Wiens: Making the most of your ANOVAs
Why not to be afraid of priors (too much), Paul-Christian Bürkner - Bayes@Lund 2018
Analyzing orientation behaviour in animals using Stan, John Kirwan - Bayes@Lund 2018
Sequential Testing with Information Criteria, Ladislas Nalborczyk - Bayes@Lund 2018
Bayes@Lund 2017 -- Judith Bütepage: Learning to make decisions under uncertainty
The virtue of Bayesian analysis in food risk assessment, Jukka Ranta - Bayes@Lund 2018
The current state of naming conventions in R - UseR 2017
DIY Kruschke style diagrams screencast
Three strategies to tackle Big Data in R and Python
Hur man gör en pytteliten groggbok på bara en minut!
En Liten Groggpraktika - Kickstartertrailer
Inference in ecology beyond generalised linear mixed models, Reinder Radersma - Bayes@Lund 2018
Introducing Bayes, Rasmus Bååth - Bayes@Lund 2018
Bayes@Lund 2017 -- Martin Stjernman, Joint species modelling
Bayes@Lund 2017 -- Shravan Vasishth: Finite mixture modeling, a case study
Analyzing an experiment on involuntary attention using brms, Antonio Schettino - Bayes@Lund 2018
Bayesian 3D Priors for Brain Imaging, Per Sidén - Bayes@Lund 2018
Groggroulette
Making the most out of a single datapoint using ABC , Denis Shepelin - Bayes@Lund 2018
Grogg: En Kort Historik
Is there something out there? , Ullrika Sahlin - Bayes@Lund 2018