Gotchas in Jetpack Compose Recomposition
Understanding recomposition in Jetpack Compose is critical to optimizing application performance. Here are some "gotchas" to avoid.
Understanding recomposition in Jetpack Compose is critical to optimizing application performance. Here are some "gotchas" to avoid.
How configuration driven Machine learning pipelines help streamline the model development at Stitch Fix.
In late 2021 we released Hamilton, Stitch Fix’s open-source microframework for managing dataflows. With feedback from the community, we’ve implemented an exciting new feature -- the ability to validate the data hamilton generates! In this post we detail the new capabilities and talk a little bit about next steps.
Client feedback is at the heart of Stitch Fix. Here is how we take client's textual feedback into account.
How Stitch Fix's machine learning platform enables data scientists to scale beyond their wildest dreams.
This post describes our migration journey of Spark from EMR on EC2 to EMR on EKS.
A few months ago we released Hamilton, Stitch Fix’s open-source microframework for managing dataflows. With feedback from the community, we’ve implemented a variety of new features that make it more general purpose for Data Science/Data Engineering teams. Importantly, Hamilton now operates over any python object types, and can integrate with a variety of distributed compute platforms.