Indeed was a proud sponsor of PyData Seattle 2017, an international conference promoting the use of open source data analysis tools for the Python community, such as Pandas, Matplotlib, IPython and Project Jupyter. Indeed Data Scientists presented two tutorials at the conference: Using Pandas for analyzing structured time series data Using open source natural language […]
All posts categorized in: Open Source
Friendly Machine Learning
At Indeed, machine learning is key to our mission of helping people get jobs. Machine learning lets us collect, sort, and analyze millions of job postings a day. In this post, we’ll describe our open-source Java wrapper for a particularly useful machine learning library, and we’ll explain how you can benefit from our work. Challenges […]
Gracefully Degrading Functionality Using Status
In a previous blog post, we described how to use our Status library to create a robust health check for your applications. In this follow-up, we show how you can check and degrade your application during an outage by: short-circuiting code paths of your application removing a single application instance from a data center load […]