In this fifth post in a series on how to build a complete machine learning product from scratch, I describe how to deploy our model and set up a continuous integration system.
In this fourth post in a series on how to build a complete machine learning product from scratch, I describe how to error analyze our first model and work toward building a V2 model.
In this third post in a series on how to build a complete machine learning product from scratch, I describe how to build an initial model with an associated training/evaluation pipeline and functionality tests.
In this second post in a series on how to build a complete machine learning product from scratch, I describe how to acquire your dataset and perform initial exploratory data analysis.
In this first post in a series on how to build a complete machine learning product from scratch, I describe how to setup your project and tooling.
After analyzing 1000+ Y-Combinator Companies, I discover there's a huge market need for more engineering-focused data practitioner roles.
