apply(), the ML data-engineering conference is back on April 3.
Learn the different use cases for caching features and see how the Tecton Serving Cache works in this blog post.
Recommender systems are a widespread use case for machine learning. In this post, we summarize four major takeaways from apply(recsys) that any team interested in rec(sys) should keep in mind.
Building an online recommendation system? Our resident recsys expert offers advice to help you reduce costs, manage complexity, and more.
Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!
However, we are currently looking to interview members of the machine learning community to learn more about current trends.
If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.
Interested in trying Tecton? Leave us your information below and we’ll be in touch.