Data Science Stack Showcase

Hi everyone,

We will be hosting our next meetup at Geekdom (http://geekdom.com/san-francisco) in SOMA, which is near the Montgomery St. BART station. Geekdom has sponsored the event space for the evening, thank you Geekdom!

As suggested by a few members at our last event, this meetup will be focused on the tools that we use to do our work as machine learners and data scientists.

http://www.popularmechanics.co.za/wp-content/uploads/resized/86804_resized_hopper480x329.jpg

It would great if some people could bring their laptops and share their work environment and tools with the group. You can choose to share/demo your whole stack, or if you want to talk about or demo a particular tool you like using, I have listed some ideas below (these are just suggestions). Sign up here (http://doodle.com/htsauwv7ifikc8sc) if you can. Feel free to come without a laptop as well if you just want to participate in the discussion or learn from your peers.

Update: There will be pizza & salads.

See you soon!
Erin

1. Code editors / shells

• Vi or Vim
• Emacs or Aquamacs
• RStudio
• IPython
• Sublime Text

2. Data munging tools / platforms

• Python: pandas, NLTK
• R: dplyr, caret, etc.
• unix tools: grep, sed, awk, cut, sort
• SQL, NoSQL
• Hadoop, Spark

3. Machine learning software

• Python: Scikit-learn, PyML, PyBrain, Theano
• R: randomForest, glmnet, gbm, e1071
• C++: Vowpal Wabbit, sofia-ml, SHOGUN, MLPACK
• Java: H2O
• Scala: MLbase
• Custom software

4. Compute resources

• AWS EC2
• DigitalOcean
• Laptop
• Work or university servers

5. Data visualization

• JavaScript: D3
• R: ggplot2
• Python: Matplotlib