Imagine you work as an ML engineer at a Fintech startup, and you are tasked to build a new credit card fraud detection system. Imagine you have already defined the problem with relevant stakeholders built a training dataset trained a good model to detect fraud (for example, a binary classifier) inside a notebook created a REST API around your model …
Real-time ML is a fascinating topic, which I wanna go deeper into in the following weeks and months. Because of this, I started creating a sequence of small projects where I build real-time products, beginning with a real-time feature engineering pipeline. Real-time feature engineering A real-time feature pipeline is a program that ingests real-time raw data (e.g. …
Reading blog posts about multi-billion-parameter Language Models is very cool. However, building real-world NLP products from these models is where the real business value is. And this is what companies look for in the job market. So, here is a PRO project you can build. “An app that recommends what ML paper to read” Imagine …
Let’s build a Machine Learning service to predict the Air Quality Index (AQI) in your city in the next 3 days, using a 100% serverless stack. You will learn a lot, AND you will build something useful for society. Win-win These are steps to build this ↓ Step 1 – Feature generation script 1 → …
