<p>Hello!</p> <p>and welcome to another hands-on session at Babbel. We are very happy that Amit Kothiyal and Evgeny Savin, two Data Scientists at Smava, will join us! They use Docker to deploy Machine Learning models in Smava's production environment.</p> <p>DockeR<br/>*****************************<br/>Amit and Evgeny will explain the importance of using containerization particularly when using machine learning models on production and walk us through the creation of a Docker container.</p> <p>Our speakers<br/>*****************************<br/>Amit holds a PhD from Erasmus University Rotterdam and has worked as a Research Scientist in Max Plank Institute Berlin before joining Smava.</p> <p>Evgeny has an MsC degree from HU University Berlin and has worked as a data scientist in a number of commercial organisations in Berlin.</p> <p>Further Info<br/>*****************************<br/>- any other questions regarding R in general<br/>- you would like give a presentation<br/>- you know of an R package that you would like to be introduced by us</p> <p>--&gt; please drop us a line at [masked]</p> <p>We are looking forward to see you soon!<br/>Best<br/>R-Ladies Berlin organisation team</p> <p>*********************************************************************************<br/>Set-up your machine to join the hands-on part:<br/>- (4 minutes) install and set-up docker: <a href="https://docs.docker.com/get-started/" class="linkified">https://docs.docker.com/get-started/</a><br/>- (10 minutes) pull r-base <a href="https://hub.docker.com/_/r-base" class="linkified">https://hub.docker.com/_/r-base</a> $ docker pull r-base<br/>- docker cheat sheet: https//www.docker.com/sites/default/files/Docker_CheatSheet_[masked]_0.pdf</p> <p>* workshop<br/>** pull an existing image and use it<br/>*** pull<br/>docker-hub: <a href="https://hub.docker.com/" class="linkified">https://hub.docker.com/</a><br/>docker pull r-base:3.1.3<br/>docker images r-base # images that were pulled<br/>*** launch<br/># interactive<br/>$ docker run -ti --rm r-base<br/>$ docker run -ti --rm r-base:3.1.3<br/># bash session<br/>$ docker run -ti --rm r-base /bin/bash<br/># linking pwd<br/>$ docker run -it --rm -v "$PWD":/data r-base /bin/bash<br/>** develop your own image<br/>$ docker build -t my_first_image .<br/>$ docker run -ti --rm my_first_image<br/>$ docker image rm my_fist_image<br/>** publish it in registery</p> <p>*********************************************************************************</p>