Skip to content

This repository contains the presentations/slides for the Bergen Data Science Meetup.

Notifications You must be signed in to change notification settings

choukha/bergen_datascience_meetup

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

26 Commits
 
 
 
 

Repository files navigation

bergen_datascience_meetup

This repository contains the presentations/slides from the Bergen Data Science Meetup Events. https://www.meetup.com/Bergen-Data-Science-Meetup/

Links

02.05.2019 at Bouvet

Talk 1. A Recipe for Training Neural Networks - (presented by Choukha Ram, Data Scientist at Equinor ) https://karpathy.github.io/2019/04/25/recipe/

Talk 2. Introduction to NLP for Norwegian text - (presented by Bjarte Johansen, Data Scientist at Equinor ) https://gist.github.com/ljos/4447f620ea23db122ba27721013b4c0f

13.06.2019 at Media City Bergen ( Sponsored by Webstep )

Talk 1. Algorithmic Defense mechanisms against online Fake News - (presented by Choukha Ram) https://github.com/choukha/bergen_datascience_meetup/blob/master/Slides/13062019%20Algorithmic%20Defense%20mechanisms%20against%20Online%20Fake%20News.pdf

Talk 2. Wavelet and statistical dispersion method for bearing fault detection - (presented by Yapi Donatien Achou, Data Scientist at Moholt ) https://github.com/choukha/bergen_datascience_meetup/blob/master/Slides/13062019%20Wavelet%20and%20statistical%20dispersion%20method%20for%20bearing%20fault%20detection.pdf

Talk 3. Overview of current Machine Learning Platforms - (presented by Angèle Abboud from Webstep) https://github.com/choukha/bergen_datascience_meetup/blob/master/Slides/13062019%20Overview_of_ML_Platforms.pdf

08.08.2019 at Bouvet

Talk 1. Introduction to Machine Learning and Natural Language Processing for programmers - (presented by Morten Mjelde from Bouvet) https://www.bouvet.no/bouvet-deler/ml-og-nlp-intro

Talk 2. Train & Deploy Machine Learning Models on the Web or Mobile - (presented by Choukha Ram) https://reshamas.github.io/deploying-deep-learning-models-on-web-and-mobile/

10.10.2019 at Bouvet

Talk 1. Medical images are very interesting as input for AI. But what types of medical images exist? A short introduction! - (presented by Yngve Kvinnsland, Data Scientist at Bouvet ) https://github.com/choukha/bergen_datascience_meetup/blob/master/Slides/10102019%20Medical%20Images%20introduction.pdf

Talk 2. Tackling climate change with machine learning - (presented by Choukha Ram, Data Scientist at Equinor ) https://github.com/choukha/bergen_datascience_meetup/blob/master/Slides/10102019%20Tackling%20Climate%20Change%20with%20ML.pdf

19.11.2019 at Bouvet

Talk 1. Artificial intelligence in image diagnostics: design methodologies for efficient use of data - (presented by Satheshkumar Kaliyugarasan, Data Scientist at Bouvet ) https://docs.google.com/presentation/d/1rBWEqWSiqZjvXpPaR_y72lOFSj1leWrXjZtC0Qt3Kh8/present?slide=id.g60235265a7_0_77

Talk 2. Real-time predictions and simulations of public transportation vehicles - (presented by Håkon Hapnes Strand, Senior Data Scientist at Webstep ) https://docs.google.com/presentation/d/1bDK09rl8angxPf9o_XjV484ncoyoE8kGGjXlrOadXtg/present?slide=id.p

10.12.2019 at Webstep ( NeurIPS 2019 Meetup )

Talk 1. Deep Learning with Bayesian Principles by Mohammad Emtiyaz Khan https://slideslive.com/38923183/deep-learning-with-bayesian-principles

23.01.2020 at Bouvet

Talk 1. Customer churn prediction in an online streaming service - (presented by Silje Hindenes & Astrid Johnsen Tessem from data science team of TV2 Sumo ) https://github.com/choukha/bergen_datascience_meetup/blob/master/Slides/23012020%20Customer%20churn%20prediciton.pdf

Talk 2. End-to-end machine learning - (presented by Yapi Donatien Achou, data scientist at Karsten Moholt AS )

27.02.2020 at Bouvet

Talk 1. Deepfakes - What are deepfakes & How do they work? - (presented by Choukha Ram, Data Scientist @ Equinor ) https://github.com/choukha/bergen_datascience_meetup/blob/master/Slides/27022020%20DeepFakes.pdf

Talk 2. Generating value from Publicly available Oil and Gas Data using various ML algorithms - (presented by Khushal Adlakha, Data Scientist @ Pro Well Plan AS) https://github.com/choukha/bergen_datascience_meetup/blob/master/Slides/27022020%20Generating%20Value%20from%20Publicly%20Available%20Oil%20and%20Gas%20Data.pdf

Talk 3. Using ML for Automatic Fish Species identification from underwater images - (presented by Vaneeda Allken , Postdoctoral Researcher in Machine Learning @ Institute of Marine Research(IMR) ) https://github.com/choukha/bergen_datascience_meetup/blob/master/Slides/27022020%20Using%20ML%20for%20Automatic%20Fish%20Species%20identification%20from%20underwater%20images.pdf

About

This repository contains the presentations/slides for the Bergen Data Science Meetup.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published