Subscribe to DSC Newsletter
Anna Anisin
  • Female
  • San Francisco, CA
  • United States
Share on Facebook
Share

Anna Anisin's Friends

  • Bo Zhang

Gifts Received

Gift

Anna Anisin has not received any gifts yet

Give a Gift

 

Anna Anisin's Page

Profile Information

Short Bio
Data Driven Marketer
My Web Site Or LinkedIn Profile
http://www.dominodatalab.com
Professional Status
Other
Years of Experience:
10+
Your Company:
Domino Data Lab
Industry:
Technology
Interests:
Networking

Anna Anisin's Blog

How to: Parallel Programming in R and Python [Video]

Posted on January 28, 2015 at 12:30pm 0 Comments

Learn how to utilize multi-core, high-memory machines to dramatically accelerate your computations in R and Python, without any complex or time-consuming setup.

You'll learn:

  1. How to…
Continue

Get Started with the Data Science Bowl

Posted on January 13, 2015 at 3:00pm 0 Comments

We’ve created a Domino project with starter code in R and Python for participating in the Data Science Bowl. 

Get a jump start in the competition with our starter project by training your models on massive hardware and running multiple experiments in parallel while keeping track of…

Continue

How-to use Bag of little bootstraps Methodology to Compute Error Bounds on Machine Learning Tasks

Posted on December 14, 2014 at 3:33pm 0 Comments

We all know that calculating error bounds on metrics derived from very large data sets has been problematic for a number of reasons. In more traditional statistics one can put a confidence interval or error bound on most metrics (e.g., mean), parameters (e.g., slope in a regression), or classifications (e.g., confusion matrix and the Kappa statistic).

For many machine learning applications, an error bound could be very important.…

Continue

Don't Get Hadooped

Posted on October 28, 2014 at 2:30pm 0 Comments

It seems like more and more companies are very interested in either, improving or setting up their analytical capabilities. All these companies are quite attracted to Hadoop, Spark or other similar solutions, not necessarily because they solve real problems they’re facing, but because they are shiny, trendy pieces of technology.

Hadoop, Spark and others are…

Continue

Comment Wall

You need to be a member of Data Science Central to add comments!

Join Data Science Central

  • No comments yet!
 
 
 

Videos

  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service