Data Science

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Revision as of 20:20, 19 August 2018 by Adelo Vieira (talk | contribs) (Remote development)
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Remote development

https://us.informatiweb.net/tutorials/it/6-web/148--eclipse-connect-to-a-remote-file-system.html

https://stackoverflow.com/questions/32747819/remote-java-development-using-intellij-or-eclipse

https://serverfault.com/questions/306796/sshfs-problem-when-losing-connection

https://askubuntu.com/questions/358906/sshfs-messes-up-everything-if-i-lose-connection

root@sinfronteras.ws: /home/adelo/1-system/3-cloud
sudo sshfs -o allow_other root@sinfronteras.ws: /home/adelo/1-system/3-cloud -o reconnect,idmap=user,password_stdin,dev,suid
sshfs mvaldez@192.168.128.1:/home/mvaldez/REMOTE /home/mvaldez/RemoteDocs -o reconnect,idmap=user,password_stdin,dev,suid

https://askubuntu.com/questions/716612/sshfs-auto-reconnect

sshfs -o reconnect,ServerAliveInterval=5,ServerAliveCountMax=3 root@sinfronteras.ws: /home/adelo/1-system/3-cloud

Anaconda

Anaconda is a free and open source distribution of the Python and R programming languages for data science and machine learning related applications (large-scale data processing, predictive analytics, scientific computing), that aims to simplify package management and deployment. Package versions are managed by the package management system conda. https://en.wikipedia.org/wiki/Anaconda_(Python_distribution)

Instalación

https://www.digitalocean.com/community/tutorials/how-to-install-the-anaconda-python-distribution-on-ubuntu-16-04

Jupyter Notebook

https://www.datacamp.com/community/tutorials/tutorial-jupyter-notebook

Cursos

https://eu.udacity.com/

https://classroom.udacity.com/courses/ud120

https://www.udemy.com/machine-learning-course-with-python/

https://stackoverflow.com/questions/19181999/how-to-create-a-keyboard-shortcut-for-sublimerepl

Curso Udacity

La clasificación supervisada