Kevin Ashcraft, HarperDB Solutions Architect, works regularly on machine learning recommendation systems. HarperDB has been using TFJS so that we can code on one database node and have it automatically replicate to child nodes to run closer to the edge. On this episode of Made with TensorFlow.js, Kevin shares a recommendation system built for a grocery store. Come hear why Kevin chose Web ML for this project and how it was a perfect fit with HarperDB.
Resources:
- Written Tutorial: Using Tensorflow.js & HarperDB for Machine Learning
- Written Tutorial: How to Build a Machine Learning Recommendation Engine w/ TensorFlow & HarperDB
