For experimenters, stopping rules can make or break the validity of statistical tests. They seem simple, however, we’ve all come across misconceptions about statistics that can alter the interpretation of the results. Here, we’ll dig deeper into the rules we follow within null hypothesis significance testing (NHST), and why.
How do you focus on the right data format for your use case? In this post, Yongjia covers the three major stages of data, why JSON is a major player, and guidelines to help you choose what's right for you.
Luba, one of our awesome engineering interns, talks about building Credit Karma's first web push notifications and how to have a lasting impact as an intern.
It's an exciting time as we revamp our frontend tech stack at Credit Karma with ReactJS, Redux, and GraphQL. This is what we learned on the journey to adoption and what comes next as we rebuild the web UI.
On our mission to become the best financial assistant, this is how we built a feature to unlock $40 billion in unclaimed money.
If Finagle microservices are deployed to a production environment without taking the time to configure, at least, some essential sane defaults, most of the features that make these microservices resilient, fault-tolerant, and highly performant can be lost. In our move to microservices, we learned how to make the most out of this tool.
This is how you can use GraphQL to detect breaking changes in API designs, and the open source utilities you can use to ensure your schema supports all your client requests.
We’re excited to launch our open source exec-jar-plugin for Apache Maven, a new way to distribute Java/Scala applications.
Three best practices helped us successfully pull off a 24-hour coding event that accelerated the development of our proprietary prediction software.