ML in Production

Top ML Resources: Interview with Eric Colson

Below is an interview with Eric Colson, Emeritus Chief Algorithms Officer, Stitch Fix Data Science. Our interview with Eric Colson is part of our interview series with the creators of some of the top ML resources we’ve come across online.… Read More

Top ML Resources: Interview with Veronika Megler, PhD

Below is an interview with Veronika Megler, PhD, Principal Data Scientist; Big Data & Analytics at Amazon. Our interview with Veronika Megler, PhD is part of our interview series with the creators of some of the top ML resources we’ve… Read More

Top ML Resources: Interview with Erik Bernhardsson

Below is an interview with Erik Bernhardsson, Chief Technology Officer at Better.com. Our interview with Erik Bernhardsson is part of our interview series with the creators of some of the top ML resources we’ve come across online. Erik’s top ML… Read More

Top ML Resources: Interview with Rui Carmo

Below is an interview with Rui Carmo, Cross-Domain Solution Architect, EMEA Architecture and Industry Services, Office of the CTO, at Microsoft. Our interview with Rui Carmo is part of our interview series with the creators of some of the top… Read More

Top ML Resources: Interview with Jeremy Jordan

Below is an interview with Jeremy Jordan, Data Scientist, Machine Learning, at Proofpoint. Our interview with Jeremy Jordan is part of our interview series with the creators of some of the top ML resources we’ve come across online. Jeremy’s top… Read More

Software Interfaces for Machine Learning Deployment (Deployment Series: Guide 02)

This is post 2 in my Ultimate Guide to Deploying Machine Learning Models. You can find the other posts in the series here. In our previous post on machine learning deployment we introduced what it means to deploy a machine… Read More

What Does it Mean to Deploy a Machine Learning Model? (Deployment Series: Guide 01)

This is post 1 in my Ultimate Guide to Deploying Machine Learning Models. You can find the other posts in the series here. I recently asked the Twitter community about their biggest machine learning pain points and what work their… Read More

5 Reasons to Read Hands-On Machine Learning by Aurélien Géron (Book Review)

Reading a book is one way to learn a new skill, but real mastery only comes from doing the thing you’re trying to learn. That’s why whenever someone asks me how to learn machine learning, the first resource I recommend… Read More

My Top 8 Moments at TWIMLcon 2019

What do Andrew Ng, Eric Colson, and Peter Skomoroch (and many others) all have in common? Aside from being some of the biggest names in the machine learning community, they were all speakers at the inaugural TWIMLcon conference that took… Read More

Deploying Models on AWS SageMaker – Part 2 Training

In my last post, I introduced Amazon SageMaker, Amazon’s fully-managed service for building and deploying machine learning models in production. We took a high-level look at SageMaker’s architecture, examining how different AWS services, like EC2, ECR, and S3, are tied… Read More