MLOps Is a Mess But That's to be Expected
I discuss the messy state of MLOps today and how we are still in the early phases of a broader transformation to bring machine learning value to enterprises globally.
A Complete Machine Learning Project From Scratch: Model Deployment and Continuous Integration
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.
A Complete Machine Learning Project From Scratch: Error Analysis And Model V2
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.
A Complete Machine Learning Project From Scratch: Model V1
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.
A Complete Machine Learning Project From Scratch: Exploratory Data Analysis
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.
A Complete Machine Learning Project From Scratch: Setting Up
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.
We Don't Need Data Scientists, We Need Data Engineers
After analyzing 1000+ Y-Combinator Companies, I discover there's a huge market need for more engineering-focused data practitioner roles.