Deploying TensorFlow Serving on Kubernetes By containerizing TensorFlow Serving and running it on Kubernetes, we can automate deployments, enable horizontal scaling, and perform rolling updates.
Deploying a fraud detection microservice using TensorFlow, PySpark, and Cortex Credit Card Fraud Detection is the most popular dataset on Kaggle. It’s appeal stems from the fact that transaction fraud detection is a practical application that many businesses care about. It’s
Design principles for machine learning platforms Machine learning is not a new technology, so why talk about machine learning platforms now? A combination of factors is driving interest in machine learning engineering as a legitimate engineering discipline.
We need Rails for machine learning About a year ago, my friend and I wanted to transition from backend engineering to machine learning engineering. We tried to solve some of the popular Kaggle datasets like credit card fraud detection and found ourselves writing a lot more glue code than machine learning code.