https://techplay.jp/event/762386

https://graphicalmodellab.connpass.com/event/158358/

I realized that I was writing wrong stuff about Kernel density estimation part, which is actually tiny modification.

GraphicalModelLab_Concept_En_v2

GraphicalModelLab_Concept_En_v2
What I fixed is “we don’t have any hyper parameters we need to learn” at 26th slide.

The correct sentence is “we don’t have any parameters we need to learn”.

 

PDF: GraphicalModelLab_Concept_Ja

Keynote: GraphicalModelLab_Concept_Ja

Slides are :

pdf : GraphicalModelLab_Concept_En_v2

keynote : GraphicalModelLab_Concept_En_v2

I updated slide at 2019/11/12

I was writing wrong stuff about “Kernel Density Estimation”.
What I fixed is “we don’t have any hyper parameters we need to learn” at 26th slide.

The corrected sentence is “we don’t have any parameters we need to learn”.

Download the slide of the first meetup from the below:

PDF: GraphicalModelLab_Concept_Ja

Keynote: GraphicalModelLab_Concept_Ja

We will hold the first meet up in Tokyo, Japan.

If you are interested in joining this meet up, please come.

BTW, all presentations are in Japanese.

https://graphicalmodellab.connpass.com/event/98071/

Thanks for coming to our tech blog!

We are building OSS SaaS by which users can do graphical modeling experiments on your dataset easily. Here, graphical model is one of machine learning disciplines.

In this blog, we write some tech topics related to the development of this graphical modeling tool.

This is an example of “Directed” Graphical Model I designed in this graphical modeling tool for wine data, https://archive.ics.uci.edu/ml/datasets/Wine.