2016 Sep Software
All (104) | Courses, Education (13) | Meetings (18) | News, Features (23) | Opinions, Interviews (19) | Software (8) | Tutorials, Overviews (20) | Webcasts & Webinars (3)
- Brainwaves hackathon on Machine Learning
- Sep 28, 2016.
This hackathon aims at attracting top developers for a 30-hour build session focused on Machine Learning. The first qualifying event will be held online in October.
- Neural Designer: Predictive Analytics Software
- Sep 26, 2016.
Neural Designer advanced neural network algorithms, combined with a simple user interface and fast performance, make it a great tool for data scientists. Download free 15-day trial version.
- NIJ Crime Forecasting Challenge – help improve policing and public safety with data science!
- Sep 22, 2016.
The nation needs brilliant, creative minds to lead the next generation of crime forecasting. Enter the competition sponsored by National Institute of Justice to help improve policing and public safety with data science. $1.2 Million will be awarded.
- New sequence learning data set
- Sep 17, 2016.
A new data set for the study of sequence learning algorithms is available as of today. The data set consists of pen stroke sequences that represent handwritten digits, and was created based on the MNIST handwritten digit data set.
- Microsoft Machine Learning Competition – Improve Women Health
- Sep 16, 2016.
Enter Microsoft Women Health Risk Assessment competition, develop machine learning solutions to accurately categorize young women for their particular health risk. Enter now - submissions due Sep 30.
- 2 must-have tools for blazing fast Python performance
- Sep 15, 2016.
Intel has two must-have, highly optimized tools to help you get faster performance out of the box - with the least amount of effort.
- SlangSD: A Sentiment Dictionary for Slang Words
- Sep 14, 2016.
The Slang Sentiment Dictionary (SlangSD) includes over 90,000 slang words together with their sentiment scores, facilitating sentiment analysis in user-generated contents.
- Behind the Dream of Data Work as it Could Be
- Sep 13, 2016.
This post is an insider's overview of data.world, and their attempt to build the most meaningful, collaborative, and abundant data resource in the world.