Behavior Modeling with Sequential Architectures: Exploring LSTMs in Machine Learning
Overcoming Limitations: How LSTMs Capture Temporal Patterns in Machine Learning
Deploying Machine Learning models in a Clojure-first environment
Challenges, solutions and the future of integrating Machine Learning at Nubank, a Clojure-First Environment
Machine Learning workflows with CPW: From complex pipelines to seamless execution
From challenges to solutions: The evolution of CPW for seamless ML workflow management
Empowering customer support agents with generative AI: interview with Kevin Rossell on Purple MinDS
Purple MinDS is a blog series that talk about the challenges data scientists and machine learning engineers face at their day-to-day at Nubank
Nubank DS & ML Meetup #82: a deep dive into optimization models in practice
Today, data isn't just numbers; it's the catalyst that drives decisions, forecasts trends, and creates sustainable business models.
Building and Maintaining Internal Tools for DS/ML teams: Lessons Learned
Lessons learned on how to build and maintain inner-source tools, with a focus on data science and machine learning use-cases
- 01
- 02
- 03
- 04
Other topics
Carrers
We are building diverse teams with the most creative and innovative professionals for each position we open
